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6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 15.5063 22.4362C19.8513 20.9787 23 16.8537 23 12C23 5.9225 18.0775 1 12 1Z"></path> </svg> </a> <div class="flex-1 flex-order-2 text-right"> <a href="/login?return_to=https%3A%2F%2Fgithub.com%2Fmicrosoft%2Fkernel-memory" class="HeaderMenu-link HeaderMenu-button d-inline-flex d-lg-none flex-order-1 f5 no-underline border color-border-default rounded-2 px-2 py-1 color-fg-inherit js-prevent-focus-on-mobile-nav" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"site header 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data-analytics-event="{"location":"navbar","action":"github_copilot","context":"product","tag":"link","label":"github_copilot_link_product_navbar"}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 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class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"security","context":"product","tag":"link","label":"security_link_product_navbar"}" href="https://github.com/features/security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 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name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="code-search-feedback-form" data-action="click:qbsearch-input#submitFeedback" type="submit" data-view-component="true" class="btn-primary btn"> Submit feedback </button> </div> </dialog></dialog-helper> <custom-scopes data-target="qbsearch-input.customScopesManager"> <dialog-helper> <dialog data-target="custom-scopes.customScopesModalDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="custom-scopes-dialog" aria-modal="true" 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href=\"https://github.com/microsoft/kernel-memory/blob/main/LICENSE\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/15befc5061d262769fde646969413b08432d10ed9bd4d58d359c42c7fc75b063/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f6d6963726f736f66742f6b65726e656c2d6d656d6f7279\" alt=\"License: MIT\" data-canonical-src=\"https://img.shields.io/github/license/microsoft/kernel-memory\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://aka.ms/KMdiscord\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/ab6c6d40ca3d7e63c67f540fbdb6bb03478d2c4e388ec32c343c581847b3da5c/68747470733a2f2f696d672e736869656c64732e696f2f646973636f72642f313036333135323434313831393934323932323f6c6162656c3d446973636f726426636f6c6f723d643832363739266c6f676f3d646973636f7264266c6f676f436f6c6f723d7768697465\" alt=\"Discord\" 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src=\"https://camo.githubusercontent.com/15e368b4e93008e760a5f83dbbeae432d3c26c41c3a3c8bd31ed2c743822344b/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f762f4d6963726f736f66742e4b65726e656c4d656d6f72793f6c6162656c3d6e7567657426636f6c6f723d253233353132424434266c6f676f3d2e6e6574266c6f676f436f6c6f723d7768697465\" alt=\"NuGet Version\" data-canonical-src=\"https://img.shields.io/nuget/v/Microsoft.KernelMemory?label=nuget\u0026amp;color=%23512BD4\u0026amp;logo=.net\u0026amp;logoColor=white\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/microsoft/kernel-memory/releases\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/e9a7fb87b464f805e331ecff0347957ce747a6ded3c828102a724c079182b098/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f6d6963726f736f66742f6b65726e656c2d6d656d6f72793f636f6c6f723d253233646464646464266c6162656c3d746167266c6f676f3d676974687562266c6f676f436f6c6f723d7768697465\" alt=\"GitHub Release\" data-canonical-src=\"https://img.shields.io/github/v/release/microsoft/kernel-memory?color=%23dddddd\u0026amp;label=tag\u0026amp;logo=github\u0026amp;logoColor=white\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis repository presents best practices and a reference implementation for Memory in specific AI\nand LLMs application scenarios. Please note that \u003cstrong\u003ethe code provided serves as a demonstration\u003c/strong\u003e\nand is \u003cstrong\u003enot an officially supported\u003c/strong\u003e Microsoft offering.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eKernel Memory\u003c/strong\u003e (KM) is a \u003cstrong\u003emulti-modal \u003ca href=\"/microsoft/kernel-memory/blob/main/service/Service/README.md\"\u003eAI Service\u003c/a\u003e\u003c/strong\u003e specialized\nin the efficient indexing of datasets through custom continuous data hybrid pipelines, with support\nfor \u003cstrong\u003e\u003ca href=\"https://en.wikipedia.org/wiki/Prompt_engineering#Retrieval-augmented_generation\" rel=\"nofollow\"\u003eRetrieval Augmented Generation\u003c/a\u003e\u003c/strong\u003e\n(RAG), synthetic memory, prompt engineering, and custom semantic memory processing.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eKM is available as a \u003cstrong\u003eWeb Service\u003c/strong\u003e, as a \u003cstrong\u003e\u003ca href=\"https://hub.docker.com/r/kernelmemory/service\" rel=\"nofollow\"\u003eDocker container\u003c/a\u003e\u003c/strong\u003e,\na \u003cstrong\u003e\u003ca href=\"https://learn.microsoft.com/copilot/plugins/overview\" rel=\"nofollow\"\u003ePlugin\u003c/a\u003e\u003c/strong\u003e for ChatGPT/Copilot/Semantic\nKernel, and as a .NET library for embedded applications.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eUtilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining\nanswers from the indexed data, complete with citations and links to the original sources.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory is designed for seamless integration as a Plugin with \u003ca href=\"https://github.com/microsoft/semantic-kernel\"\u003eSemantic Kernel\u003c/a\u003e,\nMicrosoft Copilot and ChatGPT.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-lambda-architecture.png\"\u003e\u003cimg src=\"/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-lambda-architecture.png\" alt=\"image\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eKernel Memory Service on Azure\u003c/h1\u003e\u003ca id=\"user-content-kernel-memory-service-on-azure\" class=\"anchor\" aria-label=\"Permalink: Kernel Memory Service on Azure\" href=\"#kernel-memory-service-on-azure\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory can be deployed in various configurations, including as a \u003cstrong\u003eService\u003c/strong\u003e in Azure.\nTo learn more about deploying Kernel Memory in Azure, please refer to the\n\u003ca href=\"https://microsoft.github.io/kernel-memory/azure\" rel=\"nofollow\"\u003eAzure deployment guide\u003c/a\u003e.\nFor detailed instructions on deploying to Azure, you can check the \u003ca href=\"/microsoft/kernel-memory/blob/main/infra/README.md\"\u003einfrastructure documentation\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you are already familiar with these resources, you can quickly deploy by clicking the following\nbutton.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://aka.ms/KernelMemoryDeploy2Azure\" rel=\"nofollow\"\u003e\u003cimg src=\"/microsoft/kernel-memory/raw/main/docs/azure-button.png\" alt=\"Deploy to Azure\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e🔗 See also: \u003ca href=\"#kernel-memory-docker-image\"\u003eKernel Memory via Docker\u003c/a\u003e and \u003ca href=\"/microsoft/kernel-memory/blob/main/examples/007-dotnet-serverless-azure\"\u003eServerless Kernel Memory with Azure services example\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eRunning Kernel Memory with Aspire\u003c/h2\u003e\u003ca id=\"user-content-running-kernel-memory-with-aspire\" class=\"anchor\" aria-label=\"Permalink: Running Kernel Memory with Aspire\" href=\"#running-kernel-memory-with-aspire\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory can be easily run and imported in other projects also via .NET Aspire. For example:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-cs notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"var builder = DistributedApplication.CreateBuilder();\n\nbuilder.AddContainer(\u0026quot;kernel-memory\u0026quot;, \u0026quot;kernelmemory/service\u0026quot;)\n .WithEnvironment(\u0026quot;KernelMemory__TextGeneratorType\u0026quot;, \u0026quot;OpenAI\u0026quot;)\n .WithEnvironment(\u0026quot;KernelMemory__DataIngestion__EmbeddingGeneratorTypes__0\u0026quot;, \u0026quot;OpenAI\u0026quot;)\n .WithEnvironment(\u0026quot;KernelMemory__Retrieval__EmbeddingGeneratorType\u0026quot;, \u0026quot;OpenAI\u0026quot;)\n .WithEnvironment(\u0026quot;KernelMemory__Services__OpenAI__APIKey\u0026quot;, \u0026quot;...your OpenAI key...\u0026quot;);\n\nbuilder.Build().Run();\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ebuilder\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eDistributedApplication\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eCreateBuilder\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003ebuilder\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddContainer\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"kernel-memory\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"kernelmemory/service\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWithEnvironment\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"KernelMemory__TextGeneratorType\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"OpenAI\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWithEnvironment\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"KernelMemory__DataIngestion__EmbeddingGeneratorTypes__0\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"OpenAI\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWithEnvironment\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"KernelMemory__Retrieval__EmbeddingGeneratorType\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"OpenAI\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWithEnvironment\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"KernelMemory__Services__OpenAI__APIKey\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"...your OpenAI key...\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003ebuilder\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eBuild\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eRun\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/303-dotnet-aspire/Program.cs\"\u003e\u003cimg src=\"/microsoft/kernel-memory/raw/main/docs/aspire-button.png\" alt=\"Run with .NET Aspire\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eData Ingestion using Kernel Memory OpenAPI Web Service\u003c/h1\u003e\u003ca id=\"user-content-data-ingestion-using-kernel-memory-openapi-web-service\" class=\"anchor\" aria-label=\"Permalink: Data Ingestion using Kernel Memory OpenAPI Web Service\" href=\"#data-ingestion-using-kernel-memory-openapi-web-service\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe example show the default documents ingestion pipeline:\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003eExtract text: automatically recognize the file format and extract the information\u003c/li\u003e\n\u003cli\u003ePartition the text in small chunks, ready for search and RAG prompts\u003c/li\u003e\n\u003cli\u003eExtract embeddings using any LLM embedding generator\u003c/li\u003e\n\u003cli\u003eSave embeddings into a vector index such as\n\u003ca href=\"https://learn.microsoft.com/azure/search/vector-search-overview\" rel=\"nofollow\"\u003eAzure AI Search\u003c/a\u003e,\n\u003ca href=\"https://qdrant.tech/\" rel=\"nofollow\"\u003eQdrant\u003c/a\u003e or other DBs.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003eThe example shows how to \u003cstrong\u003esafeguard private information\u003c/strong\u003e specifying who owns each document, and\nhow to \u003cstrong\u003eorganize data\u003c/strong\u003e for search and faceted navigation, using \u003cstrong\u003eTags\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eC#\u003c/h2\u003e\u003ca id=\"user-content-c\" class=\"anchor\" aria-label=\"Permalink: C#\" href=\"#c\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"highlight highlight-source-cs notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"#r \u0026quot;nuget: Microsoft.KernelMemory.WebClient\u0026quot;\n\nvar memory = new MemoryWebClient(\u0026quot;http://127.0.0.1:9001\u0026quot;); // \u0026lt;== URL of KM web service\n\n// Import a file\nawait memory.ImportDocumentAsync(\u0026quot;meeting-transcript.docx\u0026quot;);\n\n// Import a file specifying Document ID and Tags\nawait memory.ImportDocumentAsync(\u0026quot;business-plan.docx\u0026quot;,\n new Document(\u0026quot;doc01\u0026quot;)\n .AddTag(\u0026quot;user\u0026quot;, \u0026quot;devis@contoso.com\u0026quot;)\n .AddTag(\u0026quot;collection\u0026quot;, \u0026quot;business\u0026quot;)\n .AddTag(\u0026quot;collection\u0026quot;, \u0026quot;plans\u0026quot;)\n .AddTag(\u0026quot;fiscalYear\u0026quot;, \u0026quot;2025\u0026quot;));\"\u003e\u003cpre\u003e#r \u003cspan class=\"pl-s\"\u003e\"nuget: Microsoft.KernelMemory.WebClient\"\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003enew\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003eMemoryWebClient\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"http://127.0.0.1:9001\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e \u003cspan class=\"pl-c\"\u003e// \u0026lt;== URL of KM web service\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e// Import a file\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eImportDocumentAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"meeting-transcript.docx\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e// Import a file specifying Document ID and Tags\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eImportDocumentAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"business-plan.docx\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e\n \u003cspan class=\"pl-k\"\u003enew\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003eDocument\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"doc01\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"user\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"devis@contoso.com\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"collection\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"business\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"collection\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"plans\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"fiscalYear\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"2025\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/blockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePython\u003c/h2\u003e\u003ca id=\"user-content-python\" class=\"anchor\" aria-label=\"Permalink: Python\" href=\"#python\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import requests\n\n# Files to import\nfiles = {\n \u0026quot;file1\u0026quot;: (\u0026quot;business-plan.docx\u0026quot;, open(\u0026quot;business-plan.docx\u0026quot;, \u0026quot;rb\u0026quot;)),\n }\n\n# Tags to apply, used by queries to filter memory\ndata = { \u0026quot;documentId\u0026quot;: \u0026quot;doc01\u0026quot;,\n \u0026quot;tags\u0026quot;: [ \u0026quot;user:devis@contoso.com\u0026quot;,\n \u0026quot;collection:business\u0026quot;,\n \u0026quot;collection:plans\u0026quot;,\n \u0026quot;fiscalYear:2025\u0026quot; ]\n }\n\nresponse = requests.post(\u0026quot;http://127.0.0.1:9001/upload\u0026quot;, files=files, data=data)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003erequests\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e# Files to import\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003efiles\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e {\n \u003cspan class=\"pl-s\"\u003e\"file1\"\u003c/span\u003e: (\u003cspan class=\"pl-s\"\u003e\"business-plan.docx\"\u003c/span\u003e, \u003cspan class=\"pl-en\"\u003eopen\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"business-plan.docx\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"rb\"\u003c/span\u003e)),\n }\n\n\u003cspan class=\"pl-c\"\u003e# Tags to apply, used by queries to filter memory\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e { \u003cspan class=\"pl-s\"\u003e\"documentId\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"doc01\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"tags\"\u003c/span\u003e: [ \u003cspan class=\"pl-s\"\u003e\"user:devis@contoso.com\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"collection:business\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"collection:plans\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"fiscalYear:2025\"\u003c/span\u003e ]\n }\n\n\u003cspan class=\"pl-s1\"\u003eresponse\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003erequests\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003epost\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"http://127.0.0.1:9001/upload\"\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003efiles\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003efiles\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003c/blockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDirect Data Ingestion using embedded Serverless .NET component\u003c/h1\u003e\u003ca id=\"user-content-direct-data-ingestion-using-embedded-serverless-net-component\" class=\"anchor\" aria-label=\"Permalink: Direct Data Ingestion using embedded Serverless .NET component\" href=\"#direct-data-ingestion-using-embedded-serverless-net-component\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"highlight highlight-source-cs notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"var memory = new KernelMemoryBuilder()\n .WithOpenAIDefaults(Environment.GetEnvironmentVariable(\u0026quot;OPENAI_API_KEY\u0026quot;))\n .Build\u0026lt;MemoryServerless\u0026gt;();\n\n// Import a file\nawait memory.ImportDocumentAsync(\u0026quot;meeting-transcript.docx\u0026quot;);\n\n// Import a file specifying Document ID and Tags\nawait memory.ImportDocumentAsync(\u0026quot;business-plan.docx\u0026quot;,\n new Document(\u0026quot;doc01\u0026quot;)\n .AddTag(\u0026quot;collection\u0026quot;, \u0026quot;business\u0026quot;)\n .AddTag(\u0026quot;collection\u0026quot;, \u0026quot;plans\u0026quot;)\n .AddTag(\u0026quot;fiscalYear\u0026quot;, \u0026quot;2025\u0026quot;));\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003enew\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003eKernelMemoryBuilder\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWithOpenAIDefaults\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eEnvironment\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eGetEnvironmentVariable\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"OPENAI_API_KEY\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eBuild\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026lt;\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eMemoryServerless\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e// Import a file\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eImportDocumentAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"meeting-transcript.docx\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e// Import a file specifying Document ID and Tags\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eImportDocumentAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"business-plan.docx\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e\n \u003cspan class=\"pl-k\"\u003enew\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003eDocument\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"doc01\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"collection\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"business\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"collection\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"plans\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"fiscalYear\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"2025\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/blockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMemory retrieval and RAG\u003c/h1\u003e\u003ca id=\"user-content-memory-retrieval-and-rag\" class=\"anchor\" aria-label=\"Permalink: Memory retrieval and RAG\" href=\"#memory-retrieval-and-rag\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAsking questions, running RAG prompts, and filtering by user and other criteria is simple, with\nanswers including citations and all the information needed to verify their accuracy, pointing to\nwhich documents ground the response.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eC#\u003c/h2\u003e\u003ca id=\"user-content-c-1\" class=\"anchor\" aria-label=\"Permalink: C#\" href=\"#c-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAsking questions:\u003c/h3\u003e\u003ca id=\"user-content-asking-questions\" class=\"anchor\" aria-label=\"Permalink: Asking questions:\" href=\"#asking-questions\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eQuestions can be asked targeting the entire memory set, or a subset using filters,\ne.g. to implement security filters.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-cs notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"var answer1 = await memory.AskAsync(\u0026quot;How many people attended the meeting?\u0026quot;);\n\nvar answer2 = await memory.AskAsync(\u0026quot;what's the project timeline?\u0026quot;,\n filter: MemoryFilters.ByTag(\u0026quot;user\u0026quot;, \u0026quot;devis@contoso.com\u0026quot;));\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eanswer1\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAskAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"How many people attended the meeting?\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eanswer2\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAskAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"what's the project timeline?\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003efilter\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e:\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eMemoryFilters\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eByTag\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"user\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"devis@contoso.com\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/blockquote\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eToken usage:\u003c/h3\u003e\u003ca id=\"user-content-token-usage\" class=\"anchor\" aria-label=\"Permalink: Token usage:\" href=\"#token-usage\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWhen generating answers with LLMs, the result includes a token usage report.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-cs notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"foreach (var report in tokenUsage)\n{\n Console.WriteLine($\u0026quot;{report.ServiceType}: {report.ModelName} ({report.ModelType})\u0026quot;);\n Console.WriteLine($\u0026quot;- Input : {report.ServiceTokensIn}\u0026quot;);\n Console.WriteLine($\u0026quot;- Output: {report.ServiceTokensOut}\u0026quot;);\n}\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eforeach\u003c/span\u003e \u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ereport\u003c/span\u003e \u003cspan class=\"pl-k\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003etokenUsage\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n\u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003eConsole\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWriteLine\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-s\"\u003e$\u003c/span\u003e\"\u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ereport\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eServiceType\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e: \u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ereport\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eModelName\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e (\u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ereport\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eModelType\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e)\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003eConsole\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWriteLine\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-s\"\u003e$\u003c/span\u003e\"- Input : \u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ereport\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eServiceTokensIn\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003eConsole\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWriteLine\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-s\"\u003e$\u003c/span\u003e\"- Output: \u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ereport\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eServiceTokensOut\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOutput:\u003c/h4\u003e\u003ca id=\"user-content-output\" class=\"anchor\" aria-label=\"Permalink: Output:\" href=\"#output\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003eAzure OpenAI: gpt-4o (TextGeneration)\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eInput : 24356 tokens\u003c/li\u003e\n\u003cli\u003eOutput: 103 tokens\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/blockquote\u003e\n\u003c/blockquote\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://private-user-images.githubusercontent.com/371009/403950568-71abf161-106c-47cc-af06-66f810314687.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3NDMxMzExNTAsIm5iZiI6MTc0MzEzMDg1MCwicGF0aCI6Ii8zNzEwMDkvNDAzOTUwNTY4LTcxYWJmMTYxLTEwNmMtNDdjYy1hZjA2LTY2ZjgxMDMxNDY4Ny5naWY_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwMzI4JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDMyOFQwMzAwNTBaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1iZjgwYWZiYjI2MjM4ZDc4NjRhYTc1ZDdmN2JjZTg4Y2RiMzFiYzM0MjUyZmNmNDAwMmU5MDI1YTE4YjQ1YTU4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.0yfRxdnT-AaKFWW-S5q3ADVQUL0T0au8qvji1J_6dZA\"\u003e\u003cimg src=\"https://private-user-images.githubusercontent.com/371009/403950568-71abf161-106c-47cc-af06-66f810314687.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3NDMxMzExNTAsIm5iZiI6MTc0MzEzMDg1MCwicGF0aCI6Ii8zNzEwMDkvNDAzOTUwNTY4LTcxYWJmMTYxLTEwNmMtNDdjYy1hZjA2LTY2ZjgxMDMxNDY4Ny5naWY_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwMzI4JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDMyOFQwMzAwNTBaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1iZjgwYWZiYjI2MjM4ZDc4NjRhYTc1ZDdmN2JjZTg4Y2RiMzFiYzM0MjUyZmNmNDAwMmU5MDI1YTE4YjQ1YTU4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.0yfRxdnT-AaKFWW-S5q3ADVQUL0T0au8qvji1J_6dZA\" alt=\"km-stream-token-usage\" data-animated-image=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eData lineage, citations, referencing sources:\u003c/h3\u003e\u003ca id=\"user-content-data-lineage-citations-referencing-sources\" class=\"anchor\" aria-label=\"Permalink: Data lineage, citations, referencing sources:\" href=\"#data-lineage-citations-referencing-sources\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-cs notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"await memory.ImportFileAsync(\u0026quot;NASA-news.pdf\u0026quot;);\n\nvar answer = await memory.AskAsync(\u0026quot;Any news from NASA about Orion?\u0026quot;);\n\nConsole.WriteLine(answer.Result + \u0026quot;/n\u0026quot;);\n\nforeach (var x in answer.RelevantSources)\n{\n Console.WriteLine($\u0026quot; * {x.SourceName} -- {x.Partitions.First().LastUpdate:D}\u0026quot;);\n}\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eImportFileAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"NASA-news.pdf\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eanswer\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAskAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"Any news from NASA about Orion?\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003eConsole\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWriteLine\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eanswer\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eResult\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e+\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"/n\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003eforeach\u003c/span\u003e \u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e \u003cspan class=\"pl-k\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eanswer\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eRelevantSources\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n\u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003eConsole\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWriteLine\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-s\"\u003e$\u003c/span\u003e\" * \u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eSourceName\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e -- \u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ePartitions\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eFirst\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eLastUpdate\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e:\u003c/span\u003eD\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003eYes, there is news from NASA about the Orion spacecraft. NASA has invited the\nmedia to see a new test version [......] For more information about the Artemis program,\nyou can visit the NASA website.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003eNASA-news.pdf -- Tuesday, August 1, 2023\u003c/strong\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/blockquote\u003e\n\u003c/blockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePython\u003c/h2\u003e\u003ca id=\"user-content-python-1\" class=\"anchor\" aria-label=\"Permalink: Python\" href=\"#python-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAsking questions:\u003c/h3\u003e\u003ca id=\"user-content-asking-questions-1\" class=\"anchor\" aria-label=\"Permalink: Asking questions:\" href=\"#asking-questions-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import requests\nimport json\n\ndata = {\n \u0026quot;question\u0026quot;: \u0026quot;what's the project timeline?\u0026quot;,\n \u0026quot;filters\u0026quot;: [ {\u0026quot;user\u0026quot;: [\u0026quot;devis@contoso.com\u0026quot;]} ]\n}\n\nresponse = requests.post(\n \u0026quot;http://127.0.0.1:9001/ask\u0026quot;,\n headers={\u0026quot;Content-Type\u0026quot;: \u0026quot;application/json\u0026quot;},\n data=json.dumps(data),\n).json()\n\nprint(response[\u0026quot;text\u0026quot;])\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003erequests\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ejson\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e {\n \u003cspan class=\"pl-s\"\u003e\"question\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"what's the project timeline?\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"filters\"\u003c/span\u003e: [ {\u003cspan class=\"pl-s\"\u003e\"user\"\u003c/span\u003e: [\u003cspan class=\"pl-s\"\u003e\"devis@contoso.com\"\u003c/span\u003e]} ]\n}\n\n\u003cspan class=\"pl-s1\"\u003eresponse\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003erequests\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003epost\u003c/span\u003e(\n \u003cspan class=\"pl-s\"\u003e\"http://127.0.0.1:9001/ask\"\u003c/span\u003e,\n \u003cspan class=\"pl-s1\"\u003eheaders\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e{\u003cspan class=\"pl-s\"\u003e\"Content-Type\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"application/json\"\u003c/span\u003e},\n \u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ejson\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003edumps\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e),\n).\u003cspan class=\"pl-c1\"\u003ejson\u003c/span\u003e()\n\n\u003cspan class=\"pl-en\"\u003eprint\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003eresponse\u003c/span\u003e[\u003cspan class=\"pl-s\"\u003e\"text\"\u003c/span\u003e])\u003c/pre\u003e\u003c/div\u003e\n\u003c/blockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOpenAPI\u003c/h2\u003e\u003ca id=\"user-content-openapi\" class=\"anchor\" aria-label=\"Permalink: OpenAPI\" href=\"#openapi\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cblockquote\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"curl http://127.0.0.1:9001/ask -d'{\u0026quot;query\u0026quot;:\u0026quot;Any news from NASA about Orion?\u0026quot;}' -H 'Content-Type: application/json'\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003ecurl http://127.0.0.1:9001/ask -d'{\"query\":\"Any news from NASA about Orion?\"}' -H 'Content-Type: application/json'\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-json notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"{\n \u0026quot;Query\u0026quot;: \u0026quot;Any news from NASA about Orion?\u0026quot;,\n \u0026quot;Text\u0026quot;: \u0026quot;Yes, there is news from NASA about the Orion spacecraft. NASA has invited the media to see a new test version [......] For more information about the Artemis program, you can visit the NASA website.\u0026quot;,\n \u0026quot;RelevantSources\u0026quot;: [\n {\n \u0026quot;Link\u0026quot;: \u0026quot;...\u0026quot;,\n \u0026quot;SourceContentType\u0026quot;: \u0026quot;application/pdf\u0026quot;,\n \u0026quot;SourceName\u0026quot;: \u0026quot;file5-NASA-news.pdf\u0026quot;,\n \u0026quot;Partitions\u0026quot;: [\n {\n \u0026quot;Text\u0026quot;: \u0026quot;Skip to main content\\nJul 28, 2023\\nMEDIA ADVISORY M23-095\\nNASA Invites Media to See Recovery Craft for\\nArtemis Moon Mission\\n(/sites/default/ﬁles/thumbnails/image/ksc-20230725-ph-fmx01_0003orig.jpg)\\nAboard the [......] to Mars (/topics/moon-to-\\nmars/),Orion Spacecraft (/exploration/systems/orion/index.html)\\nNASA Invites Media to See Recovery Craft for Artemis Moon Miss... https://www.nasa.gov/press-release/nasa-invites-media-to-see-recov...\\n2 of 3 7/28/23, 4:51 PM\u0026quot;,\n \u0026quot;Relevance\u0026quot;: 0.8430657,\n \u0026quot;SizeInTokens\u0026quot;: 863,\n \u0026quot;LastUpdate\u0026quot;: \u0026quot;2023-08-01T08:15:02-07:00\u0026quot;\n }\n ]\n }\n ]\n}\"\u003e\u003cpre\u003e{\n \u003cspan class=\"pl-ent\"\u003e\"Query\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eAny news from NASA about Orion?\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"Text\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eYes, there is news from NASA about the Orion spacecraft. NASA has invited the media to see a new test version [......] For more information about the Artemis program, you can visit the NASA website.\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"RelevantSources\"\u003c/span\u003e: [\n {\n \u003cspan class=\"pl-ent\"\u003e\"Link\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e...\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"SourceContentType\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eapplication/pdf\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"SourceName\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003efile5-NASA-news.pdf\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"Partitions\"\u003c/span\u003e: [\n {\n \u003cspan class=\"pl-ent\"\u003e\"Text\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eSkip to main content\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eJul 28, 2023\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eMEDIA ADVISORY M23-095\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eNASA Invites Media to See Recovery Craft for\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eArtemis Moon Mission\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003e(/sites/default/ﬁles/thumbnails/image/ksc-20230725-ph-fmx01_0003orig.jpg)\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eAboard the [......] to Mars (/topics/moon-to-\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003emars/),Orion Spacecraft (/exploration/systems/orion/index.html)\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eNASA Invites Media to See Recovery Craft for Artemis Moon Miss... https://www.nasa.gov/press-release/nasa-invites-media-to-see-recov...\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003e2 of 3 7/28/23, 4:51 PM\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"Relevance\"\u003c/span\u003e: \u003cspan class=\"pl-c1\"\u003e0.8430657\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"SizeInTokens\"\u003c/span\u003e: \u003cspan class=\"pl-c1\"\u003e863\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"LastUpdate\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e2023-08-01T08:15:02-07:00\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\n }\n ]\n }\n ]\n}\u003c/pre\u003e\u003c/div\u003e\n\u003c/blockquote\u003e\n\u003cp dir=\"auto\"\u003eThe OpenAPI schema (\"swagger\") is available at \u003ca href=\"http://127.0.0.1:9001/swagger/index.html\" rel=\"nofollow\"\u003ehttp://127.0.0.1:9001/swagger/index.html\u003c/a\u003e when\nrunning the service locally with OpenAPI enabled.\n\u003ca href=\"https://editor.swagger.io/?url=https://raw.githubusercontent.com/microsoft/kernel-memory/refs/heads/main/swagger.json\" rel=\"nofollow\"\u003eHere's a copy\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e🔗 See also:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/microsoft/kernel-memory/tree/main/examples/001-dotnet-WebClient\"\u003eFull example with ingestion, search and RAG queries\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/microsoft/kernel-memory/blob/main/examples/002-dotnet-Serverless\"\u003eFull example using serverless .NET component\u003c/a\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eKernel Memory Docker image\u003c/h1\u003e\u003ca id=\"user-content-kernel-memory-docker-image\" class=\"anchor\" aria-label=\"Permalink: Kernel Memory Docker image\" href=\"#kernel-memory-docker-image\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you want to give the service a quick test, use the following command\nto \u003cstrong\u003estart the Kernel Memory Service\u003c/strong\u003e using OpenAI:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"docker run -e OPENAI_API_KEY=\u0026quot;...\u0026quot; -it --rm -p 9001:9001 kernelmemory/service\"\u003e\u003cpre\u003edocker run -e OPENAI_API_KEY=\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e...\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e -it --rm -p 9001:9001 kernelmemory/service\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you prefer using custom settings and services such as Azure OpenAI, Azure\nDocument Intelligence, etc., you should create an \u003ccode\u003eappsettings.Development.json\u003c/code\u003e\nfile overriding the default values set in \u003ccode\u003eappsettings.json\u003c/code\u003e, or using the\nconfiguration wizard included:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"cd service/Service\ndotnet run setup\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003ecd service/Service\ndotnet run setup\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThen run this command to start the \u003ca href=\"https://hub.docker.com/r/kernelmemory/service\" rel=\"nofollow\"\u003eDocker image\u003c/a\u003e\nwith the configuration just created:\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eon Windows:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"docker run --volume .\\appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003edocker run --volume .\\appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eon Linux / macOS:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"docker run --volume ./appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003edocker run --volume ./appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e🔗 See also:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/microsoft/kernel-memory/blob/main/service/Service/README.md#%EF%B8%8F-configuration\"\u003eHow to configure KM service\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#kernel-memory-service-on-azure\"\u003eDeploy Kernel Memory to Azure\u003c/a\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMemory as a Service: Data Ingestion Pipelines + RAG Web Service\u003c/h1\u003e\u003ca id=\"user-content-memory-as-a-service-data-ingestion-pipelines--rag-web-service\" class=\"anchor\" aria-label=\"Permalink: Memory as a Service: Data Ingestion Pipelines + RAG Web Service\" href=\"#memory-as-a-service-data-ingestion-pipelines--rag-web-service\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eDepending on your scenarios, you might want to run all the code \u003cstrong\u003eremotely through an asynchronous\nand scalable service,\nor locally inside your process.\u003c/strong\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-as-a-service.png\"\u003e\u003cimg src=\"/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-as-a-service.png\" alt=\"image\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you're importing small files, and use only .NET and can block the application process while\nimporting documents, then local-in-process execution can be fine, using the \u003cstrong\u003eMemoryServerless\u003c/strong\u003e\ndescribed below.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eHowever, if you are in one of these scenarios:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eMy app is written in \u003cstrong\u003eTypeScript, Java, Rust, or some other language\u003c/strong\u003e\u003c/li\u003e\n\u003cli\u003eI'd just like a web service to import data and send questions to answer\u003c/li\u003e\n\u003cli\u003eI'm importing \u003cstrong\u003ebig documents that can require minutes to process\u003c/strong\u003e, and I don't want to block the\nuser interface\u003c/li\u003e\n\u003cli\u003eI need memory import to \u003cstrong\u003erun independently, supporting failures and retry logic\u003c/strong\u003e\u003c/li\u003e\n\u003cli\u003eI want to define \u003cstrong\u003ecustom pipelines mixing multiple languages\u003c/strong\u003e like Python, TypeScript, etc\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003ethen you're likely looking for a \u003cstrong\u003eMemory Service\u003c/strong\u003e, and you can deploy Kernel Memory as a backend\nservice, using the default ingestion logic, or your custom workflow including steps coded in\nPython/TypeScript/Java/etc., leveraging the asynchronous non-blocking memory encoding process,\nuploading documents and asking questions using the \u003cstrong\u003eMemoryWebClient\u003c/strong\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-client.png\"\u003e\u003cimg src=\"/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-client.png\" alt=\"image\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/service/Service/README.md\"\u003eHere\u003c/a\u003e you can find a complete set of instruction about\n\u003ca href=\"/microsoft/kernel-memory/blob/main/service/Service/README.md\"\u003ehow to run the Kernel Memory service\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eEmbedded Memory Component (aka \"serverless\")\u003c/h2\u003e\u003ca id=\"user-content-embedded-memory-component-aka-serverless\" class=\"anchor\" aria-label=\"Permalink: Embedded Memory Component (aka \u0026quot;serverless\u0026quot;)\" href=\"#embedded-memory-component-aka-serverless\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory works and scales at best when running as an asynchronous \u003cstrong\u003eWeb Service\u003c/strong\u003e, allowing to\ningest thousands of documents and information without blocking your app.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eHowever, Kernel Memory can also run in serverless mode, embedding \u003ccode\u003eMemoryServerless\u003c/code\u003e class instance\nin .NET backend/console/desktop apps in synchronous mode.\nEach request is processed immediately, although calling clients are responsible for handling\ntransient errors.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-embedded-serverless.png\"\u003e\u003cimg src=\"/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-embedded-serverless.png\" alt=\"image\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eExtensions\u003c/h1\u003e\u003ca id=\"user-content-extensions\" class=\"anchor\" aria-label=\"Permalink: Extensions\" href=\"#extensions\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory relies on external services to run stateful pipelines, store data, handle embeddings,\nand generate text responses. The project includes extensions that allow customization of file\nstorage, queues, vector stores, and LLMs to fit specific requirements.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003eAI\u003c/strong\u003e: Azure OpenAI, OpenAI, ONNX, Ollama, Anthropic, Azure AI Document Intelligence, Azure AI\nContent Safety\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eVector Store\u003c/strong\u003e: Azure AI Search, Postgres, SQL Server, Elasticsearch, Qdrant, Redis, MongoDB\nAtlas, In memory store\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eFile Storage\u003c/strong\u003e: Azure Blob storage, AWS S3, MongoDB Atlas, Local disk, In memory storage\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIngestion pipelines\u003c/strong\u003e: Azure Queues, RabbitMQ, In memory queues\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCustom memory ingestion pipelines\u003c/h1\u003e\u003ca id=\"user-content-custom-memory-ingestion-pipelines\" class=\"anchor\" aria-label=\"Permalink: Custom memory ingestion pipelines\" href=\"#custom-memory-ingestion-pipelines\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eDocument ingestion operates as a stateful pipeline, executing steps in a defined sequence.\nBy default, Kernel Memory employs a pipeline to \u003cstrong\u003eextract\u003c/strong\u003e text, \u003cstrong\u003echunk\u003c/strong\u003e content, \u003cstrong\u003evectorize\u003c/strong\u003e,\nand \u003cstrong\u003estore\u003c/strong\u003e data.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you need a custom data pipeline, you can modify the sequence, add new steps, or replace existing\nones by providing custom “handlers” for each desired stage. This allows complete flexibility in\ndefining how data is processed. For example:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-cs notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"// Memory setup, e.g. how to calculate and where to store embeddings\nvar memoryBuilder = new KernelMemoryBuilder()\n .WithoutDefaultHandlers()\n .WithOpenAIDefaults(Environment.GetEnvironmentVariable(\u0026quot;OPENAI_API_KEY\u0026quot;));\n\nvar memory = memoryBuilder.Build();\n\n// Plug in custom .NET handlers\nmemory.Orchestrator.AddHandler\u0026lt;MyHandler1\u0026gt;(\u0026quot;step1\u0026quot;);\nmemory.Orchestrator.AddHandler\u0026lt;MyHandler2\u0026gt;(\u0026quot;step2\u0026quot;);\nmemory.Orchestrator.AddHandler\u0026lt;MyHandler3\u0026gt;(\u0026quot;step3\u0026quot;);\n\n// Use the custom handlers with the memory object\nawait memory.ImportDocumentAsync(\n new Document(\u0026quot;mytest001\u0026quot;)\n .AddFile(\u0026quot;file1.docx\u0026quot;)\n .AddFile(\u0026quot;file2.pdf\u0026quot;),\n steps: new[] { \u0026quot;step1\u0026quot;, \u0026quot;step2\u0026quot;, \u0026quot;step3\u0026quot; });\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e// Memory setup, e.g. how to calculate and where to store embeddings\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememoryBuilder\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003enew\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003eKernelMemoryBuilder\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWithoutDefaultHandlers\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eWithOpenAIDefaults\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eEnvironment\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eGetEnvironmentVariable\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"OPENAI_API_KEY\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003evar\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememoryBuilder\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eBuild\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e// Plug in custom .NET handlers\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eOrchestrator\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eAddHandler\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026lt;\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eMyHandler1\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"step1\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eOrchestrator\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eAddHandler\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026lt;\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eMyHandler2\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"step2\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003eOrchestrator\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eAddHandler\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026lt;\u003c/span\u003e\u003cspan class=\"pl-smi\"\u003eMyHandler3\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"step3\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e// Use the custom handlers with the memory object\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ememory\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eImportDocumentAsync\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\n \u003cspan class=\"pl-k\"\u003enew\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003eDocument\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"mytest001\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddFile\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"file1.docx\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\n \u003cspan class=\"pl-kos\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-en\"\u003eAddFile\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e(\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"file2.pdf\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003esteps\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e:\u003c/span\u003e \u003cspan class=\"pl-k\"\u003enew\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e[\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e]\u003c/span\u003e \u003cspan class=\"pl-kos\"\u003e{\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"step1\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"step2\"\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e,\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"step3\"\u003c/span\u003e \u003cspan class=\"pl-kos\"\u003e}\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e)\u003c/span\u003e\u003cspan class=\"pl-kos\"\u003e;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-pipelines.png\"\u003e\u003cimg src=\"/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-pipelines.png\" alt=\"image\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eKernel Memory (KM) and Semantic Kernel (SK)\u003c/h1\u003e\u003ca id=\"user-content-kernel-memory-km-and-semantic-kernel-sk\" class=\"anchor\" aria-label=\"Permalink: Kernel Memory (KM) and Semantic Kernel (SK)\" href=\"#kernel-memory-km-and-semantic-kernel-sk\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eSemantic Kernel is an SDK for C#, Python, and Java\u003c/strong\u003e used to develop solutions with AI. SK\nincludes libraries that wrap direct calls to databases, supporting vector search.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eSemantic Kernel is maintained in three languages, while the list of supported storage engines\n(known as \"connectors\") varies across languages.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eKernel Memory (KM) is a SERVICE\u003c/strong\u003e built on Semantic Kernel, with additional features developed for\nRAG, Security, and Cloud deployment. As a service, \u003cstrong\u003eKM can be used from any language, tool, or\nplatform, e.g. browser extensions and ChatGPT assistants.\u003c/strong\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory provides several features out of the scope of Semantic Kernel, that would usually be\ndeveloped manually, such as storing files, extracting text from documents, providing a framework to\nsecure users' data, content moderation etc.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory is also leveraged to explore new AI patterns, which sometimes are backported to\nSemantic Kernel and Microsoft libraries, for instance vector stores flexible schemas, advanced\nfiltering, authentications.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eHere's comparison table:\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eFeature\u003c/th\u003e\n\u003cth\u003eKernel Memory\u003c/th\u003e\n\u003cth\u003eSemantic Kernel\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRuntime\u003c/td\u003e\n\u003ctd\u003eMemory as a Service, Web service\u003c/td\u003e\n\u003ctd\u003eSDK packages\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData formats\u003c/td\u003e\n\u003ctd\u003eWeb pages, PDF, Images, Word, PowerPoint, Excel, Markdown, Text, JSON\u003c/td\u003e\n\u003ctd\u003eText only\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLanguage support\u003c/td\u003e\n\u003ctd\u003eAny language\u003c/td\u003e\n\u003ctd\u003e.NET, Python, Java\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAG\u003c/td\u003e\n\u003ctd\u003eYes\u003c/td\u003e\n\u003ctd\u003e-\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCloud deployment\u003c/td\u003e\n\u003ctd\u003eYes\u003c/td\u003e\n\u003ctd\u003e-\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eExamples and Tools\u003c/h1\u003e\u003ca id=\"user-content-examples-and-tools\" class=\"anchor\" aria-label=\"Permalink: Examples and Tools\" href=\"#examples-and-tools\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eExamples\u003c/h2\u003e\u003ca id=\"user-content-examples\" class=\"anchor\" aria-label=\"Permalink: Examples\" href=\"#examples\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/000-notebooks\"\u003eCollection of Jupyter notebooks with various scenarios\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/001-dotnet-WebClient\"\u003eUsing Kernel Memory web service to upload documents and answer questions\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/002-dotnet-Serverless\"\u003eImporting files and asking question without running the service (serverless mode)\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/007-dotnet-serverless-azure\"\u003eKernel Memory RAG with Azure services\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/303-dotnet-aspire\"\u003eKernel Memory with .NET Aspire\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/003-dotnet-SemanticKernel-plugin\"\u003eUsing KM Plugin for Semantic Kernel\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eCustomizations\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/004-dotnet-serverless-custom-pipeline\"\u003eProcessing files with custom logic (custom handlers) in serverless mode\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/005-dotnet-AsyncMemoryCustomPipeline\"\u003eProcessing files with custom logic (custom handlers) in asynchronous mode\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/101-dotnet-custom-Prompts\"\u003eCustomizing RAG and summarization prompts\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/102-dotnet-custom-partitioning-options\"\u003eCustom partitioning/text chunking options\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/103-dotnet-custom-EmbeddingGenerator\"\u003eUsing a custom embedding/vector generator\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/108-dotnet-custom-content-decoders\"\u003eUsing custom content decoders\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/109-dotnet-custom-webscraper\"\u003eUsing a custom web scraper to fetch web pages\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/201-dotnet-serverless-custom-handler\"\u003eWriting and using a custom ingestion handler\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/209-dotnet-using-context-overrides\"\u003eUsing Context Parameters to customize RAG prompt during a request\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eLocal models and external connectors\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/104-dotnet-custom-LLM\"\u003eUsing custom LLMs\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/212-dotnet-ollama\"\u003eUsing local LLMs with Ollama\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/105-dotnet-serverless-llamasharp\"\u003eUsing local LLMs with llama.cpp via LlamaSharp\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/208-dotnet-lmstudio\"\u003eUsing local models with LM Studio\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/107-dotnet-SemanticKernel-TextCompletion\"\u003eUsing Semantic Kernel LLM connectors\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/110-dotnet-anthropic\"\u003eGenerating answers with Anthropic LLMs\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/006-curl-calling-webservice\"\u003eUpload files and ask questions from command line using curl\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/106-dotnet-retrieve-synthetics\"\u003eSummarizing documents, using synthetic memories\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/111-dotnet-azure-ai-hybrid-search\"\u003eHybrid Search with Azure AI Search\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/202-dotnet-custom-handler-as-a-service\"\u003eRunning a single asynchronous pipeline handler as a standalone service\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/204-dotnet-ASP.NET-MVC-integration\"\u003eIntegrating Memory with ASP.NET applications and controllers\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/205-dotnet-extract-text-from-docs\"\u003eSample code showing how to extract text from files\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/206-dotnet-configuration-and-logging\"\u003e.NET configuration and logging\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/207-dotnet-expanding-chunks-on-retrieval\"\u003eExpanding chunks retrieving adjacent partitions\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/210-KM-without-builder\"\u003eCreating a Memory instance without KernelMemoryBuilder\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/211-dotnet-WebClient-Intent-Detection\"\u003eIntent Detection\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/301-discord-test-application\"\u003eFetching data from Discord\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/203-dotnet-using-KM-nuget\"\u003eTest project using KM package from nuget.org\u003c/a\u003e\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eTools\u003c/h2\u003e\u003ca id=\"user-content-tools\" class=\"anchor\" aria-label=\"Permalink: Tools\" href=\"#tools\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/InteractiveSetup\"\u003e.NET appsettings.json generator\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/km-cli/upload-file.sh\"\u003eCurl script to upload files\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/km-cli/ask.sh\"\u003eCurl script to ask questions\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/km-cli/search.sh\"\u003eCurl script to search documents\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/run-qdrant.sh\"\u003eScript to start Qdrant for development tasks\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/run-elasticsearch.sh\"\u003eScript to start Elasticsearch for development tasks\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/run-mssql.sh\"\u003eScript to start MS SQL Server for development tasks\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/run-redis.sh\"\u003eScript to start Redis for development tasks\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/run-rabbitmq.sh\"\u003eScript to start RabbitMQ for development tasks\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/microsoft/kernel-memory/blob/main/tools/run-mongodb-atlas.sh\"\u003eScript to start MongoDB Atlas for development tasks\u003c/a\u003e\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e.NET packages\u003c/h2\u003e\u003ca id=\"user-content-net-packages\" class=\"anchor\" aria-label=\"Permalink: .NET packages\" href=\"#net-packages\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eMicrosoft.KernelMemory.WebClient:\u003c/strong\u003e .NET web client to call a running instance of Kernel Memory\nweb service.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.nuget.org/packages/Microsoft.KernelMemory.WebClient/\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/132af5258cff9b100d51f52ce4eb317bdf7c64ce0d79cd5dc50fe18c39384f58/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e576562436c69656e74\" alt=\"Nuget package\" data-canonical-src=\"https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.WebClient\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/001-dotnet-WebClient\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565\" alt=\"Example code\" data-canonical-src=\"https://img.shields.io/badge/example-code-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eMicrosoft.KernelMemory:\u003c/strong\u003e Kernel Memory library including all extensions and clients, it can be\nused to build custom pipelines and handlers. It contains also the serverless client to use memory\nin a synchronous way without the web service.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.nuget.org/packages/Microsoft.KernelMemory.Core/\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/836965309dd9be4ebaabbc23dd33651dbb3619564962eb9c0e1d9dc7fe7b18e9/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e436f7265\" alt=\"Nuget package\" data-canonical-src=\"https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.Core\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/002-dotnet-Serverless\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565\" alt=\"Serverless example\" data-canonical-src=\"https://img.shields.io/badge/example-code-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/004-dotnet-serverless-custom-pipeline\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565\" alt=\"Custom pipeline example\" data-canonical-src=\"https://img.shields.io/badge/example-code-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/005-dotnet-async-memory-custom-pipeline\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565\" alt=\"Custom pipeline example\" data-canonical-src=\"https://img.shields.io/badge/example-code-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eMicrosoft.KernelMemory.Service.AspNetCore:\u003c/strong\u003e an extension to load Kernel Memory into your\nASP.NET apps.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.nuget.org/packages/Microsoft.KernelMemory.Service.AspNetCore/\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/538ee46e5964abd02a27d4110a0477ee407344fb42c3a2b752c9ef3d36c2738f/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e536572766963652e4173704e6574436f7265\" alt=\"Nuget package\" data-canonical-src=\"https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.Service.AspNetCore\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/204-dotnet-ASP.NET-MVC-integration\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565\" alt=\"Example code\" data-canonical-src=\"https://img.shields.io/badge/example-code-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eMicrosoft.KernelMemory.SemanticKernelPlugin:\u003c/strong\u003e a Memory plugin for Semantic Kernel, replacing\nthe original Semantic Memory available in SK.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.nuget.org/packages/Microsoft.KernelMemory.SemanticKernelPlugin/\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/67507a454c7e277b5b95503264c4c355ea97c26cd6d0a7eb55ad004c5d3c59f5/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e53656d616e7469634b65726e656c506c7567696e\" alt=\"Nuget package\" data-canonical-src=\"https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.SemanticKernelPlugin\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"/microsoft/kernel-memory/blob/main/examples/003-dotnet-SemanticKernel-plugin\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565\" alt=\"Example code\" data-canonical-src=\"https://img.shields.io/badge/example-code-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.nuget.org/packages?q=microsoft.kernelmemory\" rel=\"nofollow\"\u003e\u003cstrong\u003eMicrosoft.KernelMemory.*\u003c/strong\u003e packages\u003c/a\u003e:\nKernel Memory Core and all KM extensions split into distinct packages.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePackages for Python, Java and other languages\u003c/h3\u003e\u003ca id=\"user-content-packages-for-python-java-and-other-languages\" class=\"anchor\" aria-label=\"Permalink: Packages for Python, Java and other languages\" href=\"#packages-for-python-java-and-other-languages\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKernel Memory service offers a \u003cstrong\u003eWeb API\u003c/strong\u003e out of the box, including the\n\u003ca href=\"https://editor.swagger.io/?url=https://github.com/microsoft/kernel-memory/blob/main/swagger.json\" rel=\"nofollow\"\u003e\u003cstrong\u003eOpenAPI swagger\u003c/strong\u003e\u003c/a\u003e\ndocumentation that you can leverage to test the API and create custom web clients. For instance,\nafter starting the service locally, see \u003ca href=\"http://127.0.0.1:9001/swagger/index.html\" rel=\"nofollow\"\u003ehttp://127.0.0.1:9001/swagger/index.html\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eA .NET Web Client and a Semantic Kernel plugin are available, see the nugets packages above.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFor Python, TypeScript, Java and other languages we recommend leveraging the Web Service. We also welcome\nPR contributions to support more languages.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eContributors\u003c/h1\u003e\u003ca id=\"user-content-contributors\" class=\"anchor\" aria-label=\"Permalink: Contributors\" href=\"#contributors\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth align=\"center\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://avatars.githubusercontent.com/u/371009?v=4\u0026amp;s=110\"\u003e\u003cimg alt=\"dluc\" src=\"https://avatars.githubusercontent.com/u/371009?v=4\u0026amp;s=110\" width=\"110\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://avatars.githubusercontent.com/u/3522534?v=4\u0026amp;s=110\"\u003e\u003cimg alt=\"marcominerva\" src=\"https://avatars.githubusercontent.com/u/3522534?v=4\u0026amp;s=110\" width=\"110\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://avatars.githubusercontent.com/u/6828951?v=4\u0026amp;s=110\"\u003e\u003cimg alt=\"anthonypuppo\" src=\"https://avatars.githubusercontent.com/u/6828951?v=4\u0026amp;s=110\" width=\"110\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://avatars.githubusercontent.com/u/66376200?v=4\u0026amp;s=110\"\u003e\u003cimg alt=\"crickman\" src=\"https://avatars.githubusercontent.com/u/66376200?v=4\u0026amp;s=110\" width=\"110\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://avatars.githubusercontent.com/u/12570346?v=4\u0026amp;s=110\"\u003e\u003cimg alt=\"TaoChenOSU\" src=\"https://avatars.githubusercontent.com/u/12570346?v=4\u0026amp;s=110\" width=\"110\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/th\u003e\n\u003cth 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align=\"center\"\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/roldengarm\"\u003eroldengarm\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/snakex64\"\u003esnakex64\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"Kernel Memory","anchor":"kernel-memory","htmlText":"Kernel Memory"},{"level":1,"text":"Kernel Memory Service on Azure","anchor":"kernel-memory-service-on-azure","htmlText":"Kernel Memory Service on Azure"},{"level":2,"text":"Running Kernel Memory with Aspire","anchor":"running-kernel-memory-with-aspire","htmlText":"Running Kernel Memory with Aspire"},{"level":1,"text":"Data Ingestion using Kernel Memory OpenAPI Web Service","anchor":"data-ingestion-using-kernel-memory-openapi-web-service","htmlText":"Data Ingestion using Kernel Memory OpenAPI Web Service"},{"level":2,"text":"C#","anchor":"c","htmlText":"C#"},{"level":2,"text":"Python","anchor":"python","htmlText":"Python"},{"level":1,"text":"Direct Data Ingestion using embedded Serverless .NET component","anchor":"direct-data-ingestion-using-embedded-serverless-net-component","htmlText":"Direct Data Ingestion using embedded Serverless .NET component"},{"level":1,"text":"Memory retrieval and RAG","anchor":"memory-retrieval-and-rag","htmlText":"Memory retrieval and RAG"},{"level":2,"text":"C#","anchor":"c-1","htmlText":"C#"},{"level":3,"text":"Asking questions:","anchor":"asking-questions","htmlText":"Asking questions:"},{"level":3,"text":"Token usage:","anchor":"token-usage","htmlText":"Token usage:"},{"level":4,"text":"Output:","anchor":"output","htmlText":"Output:"},{"level":3,"text":"Data lineage, citations, referencing sources:","anchor":"data-lineage-citations-referencing-sources","htmlText":"Data lineage, citations, referencing sources:"},{"level":2,"text":"Python","anchor":"python-1","htmlText":"Python"},{"level":3,"text":"Asking questions:","anchor":"asking-questions-1","htmlText":"Asking questions:"},{"level":2,"text":"OpenAPI","anchor":"openapi","htmlText":"OpenAPI"},{"level":1,"text":"Kernel Memory Docker image","anchor":"kernel-memory-docker-image","htmlText":"Kernel Memory Docker image"},{"level":1,"text":"Memory as a Service: Data Ingestion Pipelines + RAG Web Service","anchor":"memory-as-a-service-data-ingestion-pipelines--rag-web-service","htmlText":"Memory as a Service: Data Ingestion Pipelines + RAG Web Service"},{"level":2,"text":"Embedded Memory Component (aka \"serverless\")","anchor":"embedded-memory-component-aka-serverless","htmlText":"Embedded Memory Component (aka \"serverless\")"},{"level":1,"text":"Extensions","anchor":"extensions","htmlText":"Extensions"},{"level":1,"text":"Custom memory ingestion pipelines","anchor":"custom-memory-ingestion-pipelines","htmlText":"Custom memory ingestion pipelines"},{"level":1,"text":"Kernel Memory (KM) and Semantic Kernel (SK)","anchor":"kernel-memory-km-and-semantic-kernel-sk","htmlText":"Kernel Memory (KM) and Semantic Kernel (SK)"},{"level":1,"text":"Examples and Tools","anchor":"examples-and-tools","htmlText":"Examples and Tools"},{"level":2,"text":"Examples","anchor":"examples","htmlText":"Examples"},{"level":2,"text":"Tools","anchor":"tools","htmlText":"Tools"},{"level":2,"text":".NET packages","anchor":"net-packages","htmlText":".NET packages"},{"level":3,"text":"Packages for Python, Java and other languages","anchor":"packages-for-python-java-and-other-languages","htmlText":"Packages for Python, Java and other languages"},{"level":1,"text":"Contributors","anchor":"contributors","htmlText":"Contributors"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fmicrosoft%2Fkernel-memory"}},{"displayName":"CODE_OF_CONDUCT.md","repoName":"kernel-memory","refName":"main","path":"CODE_OF_CONDUCT.md","preferredFileType":"code_of_conduct","tabName":"Code of 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class="anchor" aria-label="Permalink: Kernel Memory" href="#kernel-memory"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://github.com/microsoft/kernel-memory/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/15befc5061d262769fde646969413b08432d10ed9bd4d58d359c42c7fc75b063/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f6d6963726f736f66742f6b65726e656c2d6d656d6f7279" alt="License: MIT" data-canonical-src="https://img.shields.io/github/license/microsoft/kernel-memory" style="max-width: 100%;"></a> <a href="https://aka.ms/KMdiscord" rel="nofollow"><img src="https://camo.githubusercontent.com/ab6c6d40ca3d7e63c67f540fbdb6bb03478d2c4e388ec32c343c581847b3da5c/68747470733a2f2f696d672e736869656c64732e696f2f646973636f72642f313036333135323434313831393934323932323f6c6162656c3d446973636f726426636f6c6f723d643832363739266c6f676f3d646973636f7264266c6f676f436f6c6f723d7768697465" alt="Discord" data-canonical-src="https://img.shields.io/discord/1063152441819942922?label=Discord&color=d82679&logo=discord&logoColor=white" style="max-width: 100%;"></a> <a href="https://hub.docker.com/r/kernelmemory/service" rel="nofollow"><img src="https://camo.githubusercontent.com/512174e76cd5a33ac959064ec76c172adc40a9f869275e695032d2081adf4240/68747470733a2f2f696d672e736869656c64732e696f2f646f636b65722f70756c6c732f6b65726e656c6d656d6f72792f736572766963653f6c6162656c3d446f636b657226636f6c6f723d253233306462376564266c6f676f3d646f636b6572266c6f676f436f6c6f723d7768697465" alt="Docker Image" data-canonical-src="https://img.shields.io/docker/pulls/kernelmemory/service?label=Docker&color=%230db7ed&logo=docker&logoColor=white" style="max-width: 100%;"></a> <a href="https://www.nuget.org/packages/Microsoft.KernelMemory" rel="nofollow"><img src="https://camo.githubusercontent.com/15e368b4e93008e760a5f83dbbeae432d3c26c41c3a3c8bd31ed2c743822344b/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f762f4d6963726f736f66742e4b65726e656c4d656d6f72793f6c6162656c3d6e7567657426636f6c6f723d253233353132424434266c6f676f3d2e6e6574266c6f676f436f6c6f723d7768697465" alt="NuGet Version" data-canonical-src="https://img.shields.io/nuget/v/Microsoft.KernelMemory?label=nuget&color=%23512BD4&logo=.net&logoColor=white" style="max-width: 100%;"></a> <a href="https://github.com/microsoft/kernel-memory/releases"><img src="https://camo.githubusercontent.com/e9a7fb87b464f805e331ecff0347957ce747a6ded3c828102a724c079182b098/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f6d6963726f736f66742f6b65726e656c2d6d656d6f72793f636f6c6f723d253233646464646464266c6162656c3d746167266c6f676f3d676974687562266c6f676f436f6c6f723d7768697465" alt="GitHub Release" data-canonical-src="https://img.shields.io/github/v/release/microsoft/kernel-memory?color=%23dddddd&label=tag&logo=github&logoColor=white" style="max-width: 100%;"></a></p> <p dir="auto">This repository presents best practices and a reference implementation for Memory in specific AI and LLMs application scenarios. Please note that <strong>the code provided serves as a demonstration</strong> and is <strong>not an officially supported</strong> Microsoft offering.</p> <p dir="auto"><strong>Kernel Memory</strong> (KM) is a <strong>multi-modal <a href="/microsoft/kernel-memory/blob/main/service/Service/README.md">AI Service</a></strong> specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for <strong><a href="https://en.wikipedia.org/wiki/Prompt_engineering#Retrieval-augmented_generation" rel="nofollow">Retrieval Augmented Generation</a></strong> (RAG), synthetic memory, prompt engineering, and custom semantic memory processing.</p> <p dir="auto">KM is available as a <strong>Web Service</strong>, as a <strong><a href="https://hub.docker.com/r/kernelmemory/service" rel="nofollow">Docker container</a></strong>, a <strong><a href="https://learn.microsoft.com/copilot/plugins/overview" rel="nofollow">Plugin</a></strong> for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications.</p> <p dir="auto">Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources.</p> <p dir="auto">Kernel Memory is designed for seamless integration as a Plugin with <a href="https://github.com/microsoft/semantic-kernel">Semantic Kernel</a>, Microsoft Copilot and ChatGPT.</p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-lambda-architecture.png"><img src="/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-lambda-architecture.png" alt="image" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Kernel Memory Service on Azure</h1><a id="user-content-kernel-memory-service-on-azure" class="anchor" aria-label="Permalink: Kernel Memory Service on Azure" href="#kernel-memory-service-on-azure"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Kernel Memory can be deployed in various configurations, including as a <strong>Service</strong> in Azure. To learn more about deploying Kernel Memory in Azure, please refer to the <a href="https://microsoft.github.io/kernel-memory/azure" rel="nofollow">Azure deployment guide</a>. For detailed instructions on deploying to Azure, you can check the <a href="/microsoft/kernel-memory/blob/main/infra/README.md">infrastructure documentation</a>.</p> <p dir="auto">If you are already familiar with these resources, you can quickly deploy by clicking the following button.</p> <p dir="auto"><a href="https://aka.ms/KernelMemoryDeploy2Azure" rel="nofollow"><img src="/microsoft/kernel-memory/raw/main/docs/azure-button.png" alt="Deploy to Azure" style="max-width: 100%;"></a></p> <p dir="auto">🔗 See also: <a href="#kernel-memory-docker-image">Kernel Memory via Docker</a> and <a href="/microsoft/kernel-memory/blob/main/examples/007-dotnet-serverless-azure">Serverless Kernel Memory with Azure services example</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Running Kernel Memory with Aspire</h2><a id="user-content-running-kernel-memory-with-aspire" class="anchor" aria-label="Permalink: Running Kernel Memory with Aspire" href="#running-kernel-memory-with-aspire"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Kernel Memory can be easily run and imported in other projects also via .NET Aspire. For example:</p> <div class="highlight highlight-source-cs notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="var builder = DistributedApplication.CreateBuilder(); builder.AddContainer("kernel-memory", "kernelmemory/service") .WithEnvironment("KernelMemory__TextGeneratorType", "OpenAI") .WithEnvironment("KernelMemory__DataIngestion__EmbeddingGeneratorTypes__0", "OpenAI") .WithEnvironment("KernelMemory__Retrieval__EmbeddingGeneratorType", "OpenAI") .WithEnvironment("KernelMemory__Services__OpenAI__APIKey", "...your OpenAI key..."); builder.Build().Run();"><pre><span class="pl-k">var</span> <span class="pl-s1">builder</span> <span class="pl-c1">=</span> <span class="pl-s1">DistributedApplication</span><span class="pl-kos">.</span><span class="pl-en">CreateBuilder</span><span class="pl-kos">(</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-s1">builder</span><span class="pl-kos">.</span><span class="pl-en">AddContainer</span><span class="pl-kos">(</span><span class="pl-s">"kernel-memory"</span><span class="pl-kos">,</span> <span class="pl-s">"kernelmemory/service"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">WithEnvironment</span><span class="pl-kos">(</span><span class="pl-s">"KernelMemory__TextGeneratorType"</span><span class="pl-kos">,</span> <span class="pl-s">"OpenAI"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">WithEnvironment</span><span class="pl-kos">(</span><span class="pl-s">"KernelMemory__DataIngestion__EmbeddingGeneratorTypes__0"</span><span class="pl-kos">,</span> <span class="pl-s">"OpenAI"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">WithEnvironment</span><span class="pl-kos">(</span><span class="pl-s">"KernelMemory__Retrieval__EmbeddingGeneratorType"</span><span class="pl-kos">,</span> <span class="pl-s">"OpenAI"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">WithEnvironment</span><span class="pl-kos">(</span><span class="pl-s">"KernelMemory__Services__OpenAI__APIKey"</span><span class="pl-kos">,</span> <span class="pl-s">"...your OpenAI key..."</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-s1">builder</span><span class="pl-kos">.</span><span class="pl-en">Build</span><span class="pl-kos">(</span><span class="pl-kos">)</span><span class="pl-kos">.</span><span class="pl-en">Run</span><span class="pl-kos">(</span><span class="pl-kos">)</span><span class="pl-kos">;</span></pre></div> <p dir="auto"><a href="/microsoft/kernel-memory/blob/main/examples/303-dotnet-aspire/Program.cs"><img src="/microsoft/kernel-memory/raw/main/docs/aspire-button.png" alt="Run with .NET Aspire" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Data Ingestion using Kernel Memory OpenAPI Web Service</h1><a id="user-content-data-ingestion-using-kernel-memory-openapi-web-service" class="anchor" aria-label="Permalink: Data Ingestion using Kernel Memory OpenAPI Web Service" href="#data-ingestion-using-kernel-memory-openapi-web-service"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The example show the default documents ingestion pipeline:</p> <ol dir="auto"> <li>Extract text: automatically recognize the file format and extract the information</li> <li>Partition the text in small chunks, ready for search and RAG prompts</li> <li>Extract embeddings using any LLM embedding generator</li> <li>Save embeddings into a vector index such as <a href="https://learn.microsoft.com/azure/search/vector-search-overview" rel="nofollow">Azure AI Search</a>, <a href="https://qdrant.tech/" rel="nofollow">Qdrant</a> or other DBs.</li> </ol> <p dir="auto">The example shows how to <strong>safeguard private information</strong> specifying who owns each document, and how to <strong>organize data</strong> for search and faceted navigation, using <strong>Tags</strong>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">C#</h2><a id="user-content-c" class="anchor" aria-label="Permalink: C#" href="#c"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <blockquote> <div class="highlight highlight-source-cs notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="#r "nuget: Microsoft.KernelMemory.WebClient" var memory = new MemoryWebClient("http://127.0.0.1:9001"); // <== URL of KM web service // Import a file await memory.ImportDocumentAsync("meeting-transcript.docx"); // Import a file specifying Document ID and Tags await memory.ImportDocumentAsync("business-plan.docx", new Document("doc01") .AddTag("user", "devis@contoso.com") .AddTag("collection", "business") .AddTag("collection", "plans") .AddTag("fiscalYear", "2025"));"><pre>#r <span class="pl-s">"nuget: Microsoft.KernelMemory.WebClient"</span> <span class="pl-k">var</span> <span class="pl-s1">memory</span> <span class="pl-c1">=</span> <span class="pl-k">new</span> <span class="pl-smi">MemoryWebClient</span><span class="pl-kos">(</span><span class="pl-s">"http://127.0.0.1:9001"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-c">// <== URL of KM web service</span> <span class="pl-c">// Import a file</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">ImportDocumentAsync</span><span class="pl-kos">(</span><span class="pl-s">"meeting-transcript.docx"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-c">// Import a file specifying Document ID and Tags</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">ImportDocumentAsync</span><span class="pl-kos">(</span><span class="pl-s">"business-plan.docx"</span><span class="pl-kos">,</span> <span class="pl-k">new</span> <span class="pl-smi">Document</span><span class="pl-kos">(</span><span class="pl-s">"doc01"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddTag</span><span class="pl-kos">(</span><span class="pl-s">"user"</span><span class="pl-kos">,</span> <span class="pl-s">"devis@contoso.com"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddTag</span><span class="pl-kos">(</span><span class="pl-s">"collection"</span><span class="pl-kos">,</span> <span class="pl-s">"business"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddTag</span><span class="pl-kos">(</span><span class="pl-s">"collection"</span><span class="pl-kos">,</span> <span class="pl-s">"plans"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddTag</span><span class="pl-kos">(</span><span class="pl-s">"fiscalYear"</span><span class="pl-kos">,</span> <span class="pl-s">"2025"</span><span class="pl-kos">)</span><span class="pl-kos">)</span><span class="pl-kos">;</span></pre></div> </blockquote> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Python</h2><a id="user-content-python" class="anchor" aria-label="Permalink: Python" href="#python"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <blockquote> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import requests # Files to import files = { "file1": ("business-plan.docx", open("business-plan.docx", "rb")), } # Tags to apply, used by queries to filter memory data = { "documentId": "doc01", "tags": [ "user:devis@contoso.com", "collection:business", "collection:plans", "fiscalYear:2025" ] } response = requests.post("http://127.0.0.1:9001/upload", files=files, data=data)"><pre><span class="pl-k">import</span> <span class="pl-s1">requests</span> <span class="pl-c"># Files to import</span> <span class="pl-s1">files</span> <span class="pl-c1">=</span> { <span class="pl-s">"file1"</span>: (<span class="pl-s">"business-plan.docx"</span>, <span class="pl-en">open</span>(<span class="pl-s">"business-plan.docx"</span>, <span class="pl-s">"rb"</span>)), } <span class="pl-c"># Tags to apply, used by queries to filter memory</span> <span class="pl-s1">data</span> <span class="pl-c1">=</span> { <span class="pl-s">"documentId"</span>: <span class="pl-s">"doc01"</span>, <span class="pl-s">"tags"</span>: [ <span class="pl-s">"user:devis@contoso.com"</span>, <span class="pl-s">"collection:business"</span>, <span class="pl-s">"collection:plans"</span>, <span class="pl-s">"fiscalYear:2025"</span> ] } <span class="pl-s1">response</span> <span class="pl-c1">=</span> <span class="pl-s1">requests</span>.<span class="pl-c1">post</span>(<span class="pl-s">"http://127.0.0.1:9001/upload"</span>, <span class="pl-s1">files</span><span class="pl-c1">=</span><span class="pl-s1">files</span>, <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s1">data</span>)</pre></div> </blockquote> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Direct Data Ingestion using embedded Serverless .NET component</h1><a id="user-content-direct-data-ingestion-using-embedded-serverless-net-component" class="anchor" aria-label="Permalink: Direct Data Ingestion using embedded Serverless .NET component" href="#direct-data-ingestion-using-embedded-serverless-net-component"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <blockquote> <div class="highlight highlight-source-cs notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="var memory = new KernelMemoryBuilder() .WithOpenAIDefaults(Environment.GetEnvironmentVariable("OPENAI_API_KEY")) .Build<MemoryServerless>(); // Import a file await memory.ImportDocumentAsync("meeting-transcript.docx"); // Import a file specifying Document ID and Tags await memory.ImportDocumentAsync("business-plan.docx", new Document("doc01") .AddTag("collection", "business") .AddTag("collection", "plans") .AddTag("fiscalYear", "2025"));"><pre><span class="pl-k">var</span> <span class="pl-s1">memory</span> <span class="pl-c1">=</span> <span class="pl-k">new</span> <span class="pl-smi">KernelMemoryBuilder</span><span class="pl-kos">(</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">WithOpenAIDefaults</span><span class="pl-kos">(</span><span class="pl-s1">Environment</span><span class="pl-kos">.</span><span class="pl-en">GetEnvironmentVariable</span><span class="pl-kos">(</span><span class="pl-s">"OPENAI_API_KEY"</span><span class="pl-kos">)</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-smi">Build</span><span class="pl-c1"><</span><span class="pl-smi">MemoryServerless</span><span class="pl-c1">></span><span class="pl-kos">(</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-c">// Import a file</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">ImportDocumentAsync</span><span class="pl-kos">(</span><span class="pl-s">"meeting-transcript.docx"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-c">// Import a file specifying Document ID and Tags</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">ImportDocumentAsync</span><span class="pl-kos">(</span><span class="pl-s">"business-plan.docx"</span><span class="pl-kos">,</span> <span class="pl-k">new</span> <span class="pl-smi">Document</span><span class="pl-kos">(</span><span class="pl-s">"doc01"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddTag</span><span class="pl-kos">(</span><span class="pl-s">"collection"</span><span class="pl-kos">,</span> <span class="pl-s">"business"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddTag</span><span class="pl-kos">(</span><span class="pl-s">"collection"</span><span class="pl-kos">,</span> <span class="pl-s">"plans"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddTag</span><span class="pl-kos">(</span><span class="pl-s">"fiscalYear"</span><span class="pl-kos">,</span> <span class="pl-s">"2025"</span><span class="pl-kos">)</span><span class="pl-kos">)</span><span class="pl-kos">;</span></pre></div> </blockquote> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Memory retrieval and RAG</h1><a id="user-content-memory-retrieval-and-rag" class="anchor" aria-label="Permalink: Memory retrieval and RAG" href="#memory-retrieval-and-rag"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Asking questions, running RAG prompts, and filtering by user and other criteria is simple, with answers including citations and all the information needed to verify their accuracy, pointing to which documents ground the response.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">C#</h2><a id="user-content-c-1" class="anchor" aria-label="Permalink: C#" href="#c-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <blockquote> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Asking questions:</h3><a id="user-content-asking-questions" class="anchor" aria-label="Permalink: Asking questions:" href="#asking-questions"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Questions can be asked targeting the entire memory set, or a subset using filters, e.g. to implement security filters.</p> <div class="highlight highlight-source-cs notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="var answer1 = await memory.AskAsync("How many people attended the meeting?"); var answer2 = await memory.AskAsync("what's the project timeline?", filter: MemoryFilters.ByTag("user", "devis@contoso.com"));"><pre><span class="pl-k">var</span> <span class="pl-s1">answer1</span> <span class="pl-c1">=</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">AskAsync</span><span class="pl-kos">(</span><span class="pl-s">"How many people attended the meeting?"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-k">var</span> <span class="pl-s1">answer2</span> <span class="pl-c1">=</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">AskAsync</span><span class="pl-kos">(</span><span class="pl-s">"what's the project timeline?"</span><span class="pl-kos">,</span> <span class="pl-s1">filter</span><span class="pl-c1">:</span> <span class="pl-s1">MemoryFilters</span><span class="pl-kos">.</span><span class="pl-en">ByTag</span><span class="pl-kos">(</span><span class="pl-s">"user"</span><span class="pl-kos">,</span> <span class="pl-s">"devis@contoso.com"</span><span class="pl-kos">)</span><span class="pl-kos">)</span><span class="pl-kos">;</span></pre></div> </blockquote> <blockquote> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Token usage:</h3><a id="user-content-token-usage" class="anchor" aria-label="Permalink: Token usage:" href="#token-usage"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">When generating answers with LLMs, the result includes a token usage report.</p> <div class="highlight highlight-source-cs notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="foreach (var report in tokenUsage) { Console.WriteLine($"{report.ServiceType}: {report.ModelName} ({report.ModelType})"); Console.WriteLine($"- Input : {report.ServiceTokensIn}"); Console.WriteLine($"- Output: {report.ServiceTokensOut}"); }"><pre><span class="pl-k">foreach</span> <span class="pl-kos">(</span><span class="pl-k">var</span> <span class="pl-s1">report</span> <span class="pl-k">in</span> <span class="pl-s1">tokenUsage</span><span class="pl-kos">)</span> <span class="pl-kos">{</span> <span class="pl-s1">Console</span><span class="pl-kos">.</span><span class="pl-en">WriteLine</span><span class="pl-kos">(</span><span class="pl-s"><span class="pl-s">$</span>"<span class="pl-kos">{</span><span class="pl-s1">report</span><span class="pl-kos">.</span><span class="pl-s1">ServiceType</span><span class="pl-kos">}</span>: <span class="pl-kos">{</span><span class="pl-s1">report</span><span class="pl-kos">.</span><span class="pl-s1">ModelName</span><span class="pl-kos">}</span> (<span class="pl-kos">{</span><span class="pl-s1">report</span><span class="pl-kos">.</span><span class="pl-s1">ModelType</span><span class="pl-kos">}</span>)"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-s1">Console</span><span class="pl-kos">.</span><span class="pl-en">WriteLine</span><span class="pl-kos">(</span><span class="pl-s"><span class="pl-s">$</span>"- Input : <span class="pl-kos">{</span><span class="pl-s1">report</span><span class="pl-kos">.</span><span class="pl-s1">ServiceTokensIn</span><span class="pl-kos">}</span>"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-s1">Console</span><span class="pl-kos">.</span><span class="pl-en">WriteLine</span><span class="pl-kos">(</span><span class="pl-s"><span class="pl-s">$</span>"- Output: <span class="pl-kos">{</span><span class="pl-s1">report</span><span class="pl-kos">.</span><span class="pl-s1">ServiceTokensOut</span><span class="pl-kos">}</span>"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-kos">}</span></pre></div> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Output:</h4><a id="user-content-output" class="anchor" aria-label="Permalink: Output:" href="#output"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <blockquote> <p dir="auto">Azure OpenAI: gpt-4o (TextGeneration)</p> <ul dir="auto"> <li>Input : 24356 tokens</li> <li>Output: 103 tokens</li> </ul> </blockquote> </blockquote> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="https://private-user-images.githubusercontent.com/371009/403950568-71abf161-106c-47cc-af06-66f810314687.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3NDMxMzExNTAsIm5iZiI6MTc0MzEzMDg1MCwicGF0aCI6Ii8zNzEwMDkvNDAzOTUwNTY4LTcxYWJmMTYxLTEwNmMtNDdjYy1hZjA2LTY2ZjgxMDMxNDY4Ny5naWY_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwMzI4JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDMyOFQwMzAwNTBaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1iZjgwYWZiYjI2MjM4ZDc4NjRhYTc1ZDdmN2JjZTg4Y2RiMzFiYzM0MjUyZmNmNDAwMmU5MDI1YTE4YjQ1YTU4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.0yfRxdnT-AaKFWW-S5q3ADVQUL0T0au8qvji1J_6dZA"><img src="https://private-user-images.githubusercontent.com/371009/403950568-71abf161-106c-47cc-af06-66f810314687.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3NDMxMzExNTAsIm5iZiI6MTc0MzEzMDg1MCwicGF0aCI6Ii8zNzEwMDkvNDAzOTUwNTY4LTcxYWJmMTYxLTEwNmMtNDdjYy1hZjA2LTY2ZjgxMDMxNDY4Ny5naWY_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwMzI4JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDMyOFQwMzAwNTBaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1iZjgwYWZiYjI2MjM4ZDc4NjRhYTc1ZDdmN2JjZTg4Y2RiMzFiYzM0MjUyZmNmNDAwMmU5MDI1YTE4YjQ1YTU4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.0yfRxdnT-AaKFWW-S5q3ADVQUL0T0au8qvji1J_6dZA" alt="km-stream-token-usage" data-animated-image="" style="max-width: 100%;"></a></p> <blockquote> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Data lineage, citations, referencing sources:</h3><a id="user-content-data-lineage-citations-referencing-sources" class="anchor" aria-label="Permalink: Data lineage, citations, referencing sources:" href="#data-lineage-citations-referencing-sources"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-cs notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="await memory.ImportFileAsync("NASA-news.pdf"); var answer = await memory.AskAsync("Any news from NASA about Orion?"); Console.WriteLine(answer.Result + "/n"); foreach (var x in answer.RelevantSources) { Console.WriteLine($" * {x.SourceName} -- {x.Partitions.First().LastUpdate:D}"); }"><pre><span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">ImportFileAsync</span><span class="pl-kos">(</span><span class="pl-s">"NASA-news.pdf"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-k">var</span> <span class="pl-s1">answer</span> <span class="pl-c1">=</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">AskAsync</span><span class="pl-kos">(</span><span class="pl-s">"Any news from NASA about Orion?"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-s1">Console</span><span class="pl-kos">.</span><span class="pl-en">WriteLine</span><span class="pl-kos">(</span><span class="pl-s1">answer</span><span class="pl-kos">.</span><span class="pl-s1">Result</span> <span class="pl-c1">+</span> <span class="pl-s">"/n"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-k">foreach</span> <span class="pl-kos">(</span><span class="pl-k">var</span> <span class="pl-s1">x</span> <span class="pl-k">in</span> <span class="pl-s1">answer</span><span class="pl-kos">.</span><span class="pl-s1">RelevantSources</span><span class="pl-kos">)</span> <span class="pl-kos">{</span> <span class="pl-s1">Console</span><span class="pl-kos">.</span><span class="pl-en">WriteLine</span><span class="pl-kos">(</span><span class="pl-s"><span class="pl-s">$</span>" * <span class="pl-kos">{</span><span class="pl-s1">x</span><span class="pl-kos">.</span><span class="pl-s1">SourceName</span><span class="pl-kos">}</span> -- <span class="pl-kos">{</span><span class="pl-s1">x</span><span class="pl-kos">.</span><span class="pl-s1">Partitions</span><span class="pl-kos">.</span><span class="pl-en">First</span><span class="pl-kos">(</span><span class="pl-kos">)</span><span class="pl-kos">.</span><span class="pl-s1">LastUpdate</span><span class="pl-c1">:</span>D<span class="pl-kos">}</span>"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-kos">}</span></pre></div> <blockquote> <p dir="auto">Yes, there is news from NASA about the Orion spacecraft. NASA has invited the media to see a new test version [......] For more information about the Artemis program, you can visit the NASA website.</p> <ul dir="auto"> <li><strong>NASA-news.pdf -- Tuesday, August 1, 2023</strong></li> </ul> </blockquote> </blockquote> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Python</h2><a id="user-content-python-1" class="anchor" aria-label="Permalink: Python" href="#python-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <blockquote> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Asking questions:</h3><a id="user-content-asking-questions-1" class="anchor" aria-label="Permalink: Asking questions:" href="#asking-questions-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import requests import json data = { "question": "what's the project timeline?", "filters": [ {"user": ["devis@contoso.com"]} ] } response = requests.post( "http://127.0.0.1:9001/ask", headers={"Content-Type": "application/json"}, data=json.dumps(data), ).json() print(response["text"])"><pre><span class="pl-k">import</span> <span class="pl-s1">requests</span> <span class="pl-k">import</span> <span class="pl-s1">json</span> <span class="pl-s1">data</span> <span class="pl-c1">=</span> { <span class="pl-s">"question"</span>: <span class="pl-s">"what's the project timeline?"</span>, <span class="pl-s">"filters"</span>: [ {<span class="pl-s">"user"</span>: [<span class="pl-s">"devis@contoso.com"</span>]} ] } <span class="pl-s1">response</span> <span class="pl-c1">=</span> <span class="pl-s1">requests</span>.<span class="pl-c1">post</span>( <span class="pl-s">"http://127.0.0.1:9001/ask"</span>, <span class="pl-s1">headers</span><span class="pl-c1">=</span>{<span class="pl-s">"Content-Type"</span>: <span class="pl-s">"application/json"</span>}, <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s1">json</span>.<span class="pl-c1">dumps</span>(<span class="pl-s1">data</span>), ).<span class="pl-c1">json</span>() <span class="pl-en">print</span>(<span class="pl-s1">response</span>[<span class="pl-s">"text"</span>])</pre></div> </blockquote> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">OpenAPI</h2><a id="user-content-openapi" class="anchor" aria-label="Permalink: OpenAPI" href="#openapi"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <blockquote> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="curl http://127.0.0.1:9001/ask -d'{"query":"Any news from NASA about Orion?"}' -H 'Content-Type: application/json'"><pre class="notranslate"><code>curl http://127.0.0.1:9001/ask -d'{"query":"Any news from NASA about Orion?"}' -H 'Content-Type: application/json' </code></pre></div> <div class="highlight highlight-source-json notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="{ "Query": "Any news from NASA about Orion?", "Text": "Yes, there is news from NASA about the Orion spacecraft. NASA has invited the media to see a new test version [......] For more information about the Artemis program, you can visit the NASA website.", "RelevantSources": [ { "Link": "...", "SourceContentType": "application/pdf", "SourceName": "file5-NASA-news.pdf", "Partitions": [ { "Text": "Skip to main content\nJul 28, 2023\nMEDIA ADVISORY M23-095\nNASA Invites Media to See Recovery Craft for\nArtemis Moon Mission\n(/sites/default/ﬁles/thumbnails/image/ksc-20230725-ph-fmx01_0003orig.jpg)\nAboard the [......] to Mars (/topics/moon-to-\nmars/),Orion Spacecraft (/exploration/systems/orion/index.html)\nNASA Invites Media to See Recovery Craft for Artemis Moon Miss... https://www.nasa.gov/press-release/nasa-invites-media-to-see-recov...\n2 of 3 7/28/23, 4:51 PM", "Relevance": 0.8430657, "SizeInTokens": 863, "LastUpdate": "2023-08-01T08:15:02-07:00" } ] } ] }"><pre>{ <span class="pl-ent">"Query"</span>: <span class="pl-s"><span class="pl-pds">"</span>Any news from NASA about Orion?<span class="pl-pds">"</span></span>, <span class="pl-ent">"Text"</span>: <span class="pl-s"><span class="pl-pds">"</span>Yes, there is news from NASA about the Orion spacecraft. NASA has invited the media to see a new test version [......] For more information about the Artemis program, you can visit the NASA website.<span class="pl-pds">"</span></span>, <span class="pl-ent">"RelevantSources"</span>: [ { <span class="pl-ent">"Link"</span>: <span class="pl-s"><span class="pl-pds">"</span>...<span class="pl-pds">"</span></span>, <span class="pl-ent">"SourceContentType"</span>: <span class="pl-s"><span class="pl-pds">"</span>application/pdf<span class="pl-pds">"</span></span>, <span class="pl-ent">"SourceName"</span>: <span class="pl-s"><span class="pl-pds">"</span>file5-NASA-news.pdf<span class="pl-pds">"</span></span>, <span class="pl-ent">"Partitions"</span>: [ { <span class="pl-ent">"Text"</span>: <span class="pl-s"><span class="pl-pds">"</span>Skip to main content<span class="pl-cce">\n</span>Jul 28, 2023<span class="pl-cce">\n</span>MEDIA ADVISORY M23-095<span class="pl-cce">\n</span>NASA Invites Media to See Recovery Craft for<span class="pl-cce">\n</span>Artemis Moon Mission<span class="pl-cce">\n</span>(/sites/default/ﬁles/thumbnails/image/ksc-20230725-ph-fmx01_0003orig.jpg)<span class="pl-cce">\n</span>Aboard the [......] to Mars (/topics/moon-to-<span class="pl-cce">\n</span>mars/),Orion Spacecraft (/exploration/systems/orion/index.html)<span class="pl-cce">\n</span>NASA Invites Media to See Recovery Craft for Artemis Moon Miss... https://www.nasa.gov/press-release/nasa-invites-media-to-see-recov...<span class="pl-cce">\n</span>2 of 3 7/28/23, 4:51 PM<span class="pl-pds">"</span></span>, <span class="pl-ent">"Relevance"</span>: <span class="pl-c1">0.8430657</span>, <span class="pl-ent">"SizeInTokens"</span>: <span class="pl-c1">863</span>, <span class="pl-ent">"LastUpdate"</span>: <span class="pl-s"><span class="pl-pds">"</span>2023-08-01T08:15:02-07:00<span class="pl-pds">"</span></span> } ] } ] }</pre></div> </blockquote> <p dir="auto">The OpenAPI schema ("swagger") is available at <a href="http://127.0.0.1:9001/swagger/index.html" rel="nofollow">http://127.0.0.1:9001/swagger/index.html</a> when running the service locally with OpenAPI enabled. <a href="https://editor.swagger.io/?url=https://raw.githubusercontent.com/microsoft/kernel-memory/refs/heads/main/swagger.json" rel="nofollow">Here's a copy</a>.</p> <p dir="auto">🔗 See also:</p> <ul dir="auto"> <li><a href="https://github.com/microsoft/kernel-memory/tree/main/examples/001-dotnet-WebClient">Full example with ingestion, search and RAG queries</a>.</li> <li><a href="https://github.com/microsoft/kernel-memory/blob/main/examples/002-dotnet-Serverless">Full example using serverless .NET component</a>.</li> </ul> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Kernel Memory Docker image</h1><a id="user-content-kernel-memory-docker-image" class="anchor" aria-label="Permalink: Kernel Memory Docker image" href="#kernel-memory-docker-image"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If you want to give the service a quick test, use the following command to <strong>start the Kernel Memory Service</strong> using OpenAI:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="docker run -e OPENAI_API_KEY="..." -it --rm -p 9001:9001 kernelmemory/service"><pre>docker run -e OPENAI_API_KEY=<span class="pl-s"><span class="pl-pds">"</span>...<span class="pl-pds">"</span></span> -it --rm -p 9001:9001 kernelmemory/service</pre></div> <p dir="auto">If you prefer using custom settings and services such as Azure OpenAI, Azure Document Intelligence, etc., you should create an <code>appsettings.Development.json</code> file overriding the default values set in <code>appsettings.json</code>, or using the configuration wizard included:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="cd service/Service dotnet run setup"><pre class="notranslate"><code>cd service/Service dotnet run setup </code></pre></div> <p dir="auto">Then run this command to start the <a href="https://hub.docker.com/r/kernelmemory/service" rel="nofollow">Docker image</a> with the configuration just created:</p> <p dir="auto">on Windows:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="docker run --volume .\appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service"><pre class="notranslate"><code>docker run --volume .\appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service </code></pre></div> <p dir="auto">on Linux / macOS:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="docker run --volume ./appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service"><pre class="notranslate"><code>docker run --volume ./appsettings.Development.json:/app/appsettings.Production.json -it --rm -p 9001:9001 kernelmemory/service </code></pre></div> <p dir="auto">🔗 See also:</p> <ul dir="auto"> <li><a href="https://github.com/microsoft/kernel-memory/blob/main/service/Service/README.md#%EF%B8%8F-configuration">How to configure KM service</a></li> <li><a href="#kernel-memory-service-on-azure">Deploy Kernel Memory to Azure</a>.</li> </ul> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Memory as a Service: Data Ingestion Pipelines + RAG Web Service</h1><a id="user-content-memory-as-a-service-data-ingestion-pipelines--rag-web-service" class="anchor" aria-label="Permalink: Memory as a Service: Data Ingestion Pipelines + RAG Web Service" href="#memory-as-a-service-data-ingestion-pipelines--rag-web-service"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Depending on your scenarios, you might want to run all the code <strong>remotely through an asynchronous and scalable service, or locally inside your process.</strong></p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-as-a-service.png"><img src="/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-as-a-service.png" alt="image" style="max-width: 100%;"></a></p> <p dir="auto">If you're importing small files, and use only .NET and can block the application process while importing documents, then local-in-process execution can be fine, using the <strong>MemoryServerless</strong> described below.</p> <p dir="auto">However, if you are in one of these scenarios:</p> <ul dir="auto"> <li>My app is written in <strong>TypeScript, Java, Rust, or some other language</strong></li> <li>I'd just like a web service to import data and send questions to answer</li> <li>I'm importing <strong>big documents that can require minutes to process</strong>, and I don't want to block the user interface</li> <li>I need memory import to <strong>run independently, supporting failures and retry logic</strong></li> <li>I want to define <strong>custom pipelines mixing multiple languages</strong> like Python, TypeScript, etc</li> </ul> <p dir="auto">then you're likely looking for a <strong>Memory Service</strong>, and you can deploy Kernel Memory as a backend service, using the default ingestion logic, or your custom workflow including steps coded in Python/TypeScript/Java/etc., leveraging the asynchronous non-blocking memory encoding process, uploading documents and asking questions using the <strong>MemoryWebClient</strong>.</p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-client.png"><img src="/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-client.png" alt="image" style="max-width: 100%;"></a></p> <p dir="auto"><a href="/microsoft/kernel-memory/blob/main/service/Service/README.md">Here</a> you can find a complete set of instruction about <a href="/microsoft/kernel-memory/blob/main/service/Service/README.md">how to run the Kernel Memory service</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Embedded Memory Component (aka "serverless")</h2><a id="user-content-embedded-memory-component-aka-serverless" class="anchor" aria-label="Permalink: Embedded Memory Component (aka "serverless")" href="#embedded-memory-component-aka-serverless"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Kernel Memory works and scales at best when running as an asynchronous <strong>Web Service</strong>, allowing to ingest thousands of documents and information without blocking your app.</p> <p dir="auto">However, Kernel Memory can also run in serverless mode, embedding <code>MemoryServerless</code> class instance in .NET backend/console/desktop apps in synchronous mode. Each request is processed immediately, although calling clients are responsible for handling transient errors.</p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-embedded-serverless.png"><img src="/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-embedded-serverless.png" alt="image" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Extensions</h1><a id="user-content-extensions" class="anchor" aria-label="Permalink: Extensions" href="#extensions"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Kernel Memory relies on external services to run stateful pipelines, store data, handle embeddings, and generate text responses. The project includes extensions that allow customization of file storage, queues, vector stores, and LLMs to fit specific requirements.</p> <ul dir="auto"> <li><strong>AI</strong>: Azure OpenAI, OpenAI, ONNX, Ollama, Anthropic, Azure AI Document Intelligence, Azure AI Content Safety</li> <li><strong>Vector Store</strong>: Azure AI Search, Postgres, SQL Server, Elasticsearch, Qdrant, Redis, MongoDB Atlas, In memory store</li> <li><strong>File Storage</strong>: Azure Blob storage, AWS S3, MongoDB Atlas, Local disk, In memory storage</li> <li><strong>Ingestion pipelines</strong>: Azure Queues, RabbitMQ, In memory queues</li> </ul> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Custom memory ingestion pipelines</h1><a id="user-content-custom-memory-ingestion-pipelines" class="anchor" aria-label="Permalink: Custom memory ingestion pipelines" href="#custom-memory-ingestion-pipelines"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Document ingestion operates as a stateful pipeline, executing steps in a defined sequence. By default, Kernel Memory employs a pipeline to <strong>extract</strong> text, <strong>chunk</strong> content, <strong>vectorize</strong>, and <strong>store</strong> data.</p> <p dir="auto">If you need a custom data pipeline, you can modify the sequence, add new steps, or replace existing ones by providing custom “handlers” for each desired stage. This allows complete flexibility in defining how data is processed. For example:</p> <div class="highlight highlight-source-cs notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="// Memory setup, e.g. how to calculate and where to store embeddings var memoryBuilder = new KernelMemoryBuilder() .WithoutDefaultHandlers() .WithOpenAIDefaults(Environment.GetEnvironmentVariable("OPENAI_API_KEY")); var memory = memoryBuilder.Build(); // Plug in custom .NET handlers memory.Orchestrator.AddHandler<MyHandler1>("step1"); memory.Orchestrator.AddHandler<MyHandler2>("step2"); memory.Orchestrator.AddHandler<MyHandler3>("step3"); // Use the custom handlers with the memory object await memory.ImportDocumentAsync( new Document("mytest001") .AddFile("file1.docx") .AddFile("file2.pdf"), steps: new[] { "step1", "step2", "step3" });"><pre><span class="pl-c">// Memory setup, e.g. how to calculate and where to store embeddings</span> <span class="pl-k">var</span> <span class="pl-s1">memoryBuilder</span> <span class="pl-c1">=</span> <span class="pl-k">new</span> <span class="pl-smi">KernelMemoryBuilder</span><span class="pl-kos">(</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">WithoutDefaultHandlers</span><span class="pl-kos">(</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">WithOpenAIDefaults</span><span class="pl-kos">(</span><span class="pl-s1">Environment</span><span class="pl-kos">.</span><span class="pl-en">GetEnvironmentVariable</span><span class="pl-kos">(</span><span class="pl-s">"OPENAI_API_KEY"</span><span class="pl-kos">)</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-k">var</span> <span class="pl-s1">memory</span> <span class="pl-c1">=</span> <span class="pl-s1">memoryBuilder</span><span class="pl-kos">.</span><span class="pl-en">Build</span><span class="pl-kos">(</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-c">// Plug in custom .NET handlers</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-s1">Orchestrator</span><span class="pl-kos">.</span><span class="pl-smi">AddHandler</span><span class="pl-c1"><</span><span class="pl-smi">MyHandler1</span><span class="pl-c1">></span><span class="pl-kos">(</span><span class="pl-s">"step1"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-s1">Orchestrator</span><span class="pl-kos">.</span><span class="pl-smi">AddHandler</span><span class="pl-c1"><</span><span class="pl-smi">MyHandler2</span><span class="pl-c1">></span><span class="pl-kos">(</span><span class="pl-s">"step2"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-s1">Orchestrator</span><span class="pl-kos">.</span><span class="pl-smi">AddHandler</span><span class="pl-c1"><</span><span class="pl-smi">MyHandler3</span><span class="pl-c1">></span><span class="pl-kos">(</span><span class="pl-s">"step3"</span><span class="pl-kos">)</span><span class="pl-kos">;</span> <span class="pl-c">// Use the custom handlers with the memory object</span> <span class="pl-k">await</span> <span class="pl-s1">memory</span><span class="pl-kos">.</span><span class="pl-en">ImportDocumentAsync</span><span class="pl-kos">(</span> <span class="pl-k">new</span> <span class="pl-smi">Document</span><span class="pl-kos">(</span><span class="pl-s">"mytest001"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddFile</span><span class="pl-kos">(</span><span class="pl-s">"file1.docx"</span><span class="pl-kos">)</span> <span class="pl-kos">.</span><span class="pl-en">AddFile</span><span class="pl-kos">(</span><span class="pl-s">"file2.pdf"</span><span class="pl-kos">)</span><span class="pl-kos">,</span> <span class="pl-s1">steps</span><span class="pl-c1">:</span> <span class="pl-k">new</span><span class="pl-kos">[</span><span class="pl-kos">]</span> <span class="pl-kos">{</span> <span class="pl-s">"step1"</span><span class="pl-kos">,</span> <span class="pl-s">"step2"</span><span class="pl-kos">,</span> <span class="pl-s">"step3"</span> <span class="pl-kos">}</span><span class="pl-kos">)</span><span class="pl-kos">;</span></pre></div> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/microsoft/kernel-memory/blob/main/docs/img/kernel-memory-pipelines.png"><img src="/microsoft/kernel-memory/raw/main/docs/img/kernel-memory-pipelines.png" alt="image" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Kernel Memory (KM) and Semantic Kernel (SK)</h1><a id="user-content-kernel-memory-km-and-semantic-kernel-sk" class="anchor" aria-label="Permalink: Kernel Memory (KM) and Semantic Kernel (SK)" href="#kernel-memory-km-and-semantic-kernel-sk"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Semantic Kernel is an SDK for C#, Python, and Java</strong> used to develop solutions with AI. SK includes libraries that wrap direct calls to databases, supporting vector search.</p> <p dir="auto">Semantic Kernel is maintained in three languages, while the list of supported storage engines (known as "connectors") varies across languages.</p> <p dir="auto"><strong>Kernel Memory (KM) is a SERVICE</strong> built on Semantic Kernel, with additional features developed for RAG, Security, and Cloud deployment. As a service, <strong>KM can be used from any language, tool, or platform, e.g. browser extensions and ChatGPT assistants.</strong></p> <p dir="auto">Kernel Memory provides several features out of the scope of Semantic Kernel, that would usually be developed manually, such as storing files, extracting text from documents, providing a framework to secure users' data, content moderation etc.</p> <p dir="auto">Kernel Memory is also leveraged to explore new AI patterns, which sometimes are backported to Semantic Kernel and Microsoft libraries, for instance vector stores flexible schemas, advanced filtering, authentications.</p> <p dir="auto">Here's comparison table:</p> <markdown-accessiblity-table><table> <thead> <tr> <th>Feature</th> <th>Kernel Memory</th> <th>Semantic Kernel</th> </tr> </thead> <tbody> <tr> <td>Runtime</td> <td>Memory as a Service, Web service</td> <td>SDK packages</td> </tr> <tr> <td>Data formats</td> <td>Web pages, PDF, Images, Word, PowerPoint, Excel, Markdown, Text, JSON</td> <td>Text only</td> </tr> <tr> <td>Language support</td> <td>Any language</td> <td>.NET, Python, Java</td> </tr> <tr> <td>RAG</td> <td>Yes</td> <td>-</td> </tr> <tr> <td>Cloud deployment</td> <td>Yes</td> <td>-</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Examples and Tools</h1><a id="user-content-examples-and-tools" class="anchor" aria-label="Permalink: Examples and Tools" href="#examples-and-tools"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Examples</h2><a id="user-content-examples" class="anchor" aria-label="Permalink: Examples" href="#examples"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li><a href="/microsoft/kernel-memory/blob/main/examples/000-notebooks">Collection of Jupyter notebooks with various scenarios</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/001-dotnet-WebClient">Using Kernel Memory web service to upload documents and answer questions</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/002-dotnet-Serverless">Importing files and asking question without running the service (serverless mode)</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/007-dotnet-serverless-azure">Kernel Memory RAG with Azure services</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/303-dotnet-aspire">Kernel Memory with .NET Aspire</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/003-dotnet-SemanticKernel-plugin">Using KM Plugin for Semantic Kernel</a></li> <li>Customizations <ul dir="auto"> <li><a href="/microsoft/kernel-memory/blob/main/examples/004-dotnet-serverless-custom-pipeline">Processing files with custom logic (custom handlers) in serverless mode</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/005-dotnet-AsyncMemoryCustomPipeline">Processing files with custom logic (custom handlers) in asynchronous mode</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/101-dotnet-custom-Prompts">Customizing RAG and summarization prompts</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/102-dotnet-custom-partitioning-options">Custom partitioning/text chunking options</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/103-dotnet-custom-EmbeddingGenerator">Using a custom embedding/vector generator</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/108-dotnet-custom-content-decoders">Using custom content decoders</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/109-dotnet-custom-webscraper">Using a custom web scraper to fetch web pages</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/201-dotnet-serverless-custom-handler">Writing and using a custom ingestion handler</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/209-dotnet-using-context-overrides">Using Context Parameters to customize RAG prompt during a request</a></li> </ul> </li> <li>Local models and external connectors <ul dir="auto"> <li><a href="/microsoft/kernel-memory/blob/main/examples/104-dotnet-custom-LLM">Using custom LLMs</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/212-dotnet-ollama">Using local LLMs with Ollama</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/105-dotnet-serverless-llamasharp">Using local LLMs with llama.cpp via LlamaSharp</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/208-dotnet-lmstudio">Using local models with LM Studio</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/107-dotnet-SemanticKernel-TextCompletion">Using Semantic Kernel LLM connectors</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/110-dotnet-anthropic">Generating answers with Anthropic LLMs</a></li> </ul> </li> <li><a href="/microsoft/kernel-memory/blob/main/examples/006-curl-calling-webservice">Upload files and ask questions from command line using curl</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/106-dotnet-retrieve-synthetics">Summarizing documents, using synthetic memories</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/111-dotnet-azure-ai-hybrid-search">Hybrid Search with Azure AI Search</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/202-dotnet-custom-handler-as-a-service">Running a single asynchronous pipeline handler as a standalone service</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/204-dotnet-ASP.NET-MVC-integration">Integrating Memory with ASP.NET applications and controllers</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/205-dotnet-extract-text-from-docs">Sample code showing how to extract text from files</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/206-dotnet-configuration-and-logging">.NET configuration and logging</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/207-dotnet-expanding-chunks-on-retrieval">Expanding chunks retrieving adjacent partitions</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/210-KM-without-builder">Creating a Memory instance without KernelMemoryBuilder</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/211-dotnet-WebClient-Intent-Detection">Intent Detection</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/301-discord-test-application">Fetching data from Discord</a></li> <li><a href="/microsoft/kernel-memory/blob/main/examples/203-dotnet-using-KM-nuget">Test project using KM package from nuget.org</a></li> </ol> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Tools</h2><a id="user-content-tools" class="anchor" aria-label="Permalink: Tools" href="#tools"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li><a href="/microsoft/kernel-memory/blob/main/tools/InteractiveSetup">.NET appsettings.json generator</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/km-cli/upload-file.sh">Curl script to upload files</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/km-cli/ask.sh">Curl script to ask questions</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/km-cli/search.sh">Curl script to search documents</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/run-qdrant.sh">Script to start Qdrant for development tasks</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/run-elasticsearch.sh">Script to start Elasticsearch for development tasks</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/run-mssql.sh">Script to start MS SQL Server for development tasks</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/run-redis.sh">Script to start Redis for development tasks</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/run-rabbitmq.sh">Script to start RabbitMQ for development tasks</a></li> <li><a href="/microsoft/kernel-memory/blob/main/tools/run-mongodb-atlas.sh">Script to start MongoDB Atlas for development tasks</a></li> </ol> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">.NET packages</h2><a id="user-content-net-packages" class="anchor" aria-label="Permalink: .NET packages" href="#net-packages"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li> <p dir="auto"><strong>Microsoft.KernelMemory.WebClient:</strong> .NET web client to call a running instance of Kernel Memory web service.</p> <p dir="auto"><a href="https://www.nuget.org/packages/Microsoft.KernelMemory.WebClient/" rel="nofollow"><img src="https://camo.githubusercontent.com/132af5258cff9b100d51f52ce4eb317bdf7c64ce0d79cd5dc50fe18c39384f58/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e576562436c69656e74" alt="Nuget package" data-canonical-src="https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.WebClient" style="max-width: 100%;"></a> <a href="/microsoft/kernel-memory/blob/main/examples/001-dotnet-WebClient"><img src="https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565" alt="Example code" data-canonical-src="https://img.shields.io/badge/example-code-blue" style="max-width: 100%;"></a></p> </li> <li> <p dir="auto"><strong>Microsoft.KernelMemory:</strong> Kernel Memory library including all extensions and clients, it can be used to build custom pipelines and handlers. It contains also the serverless client to use memory in a synchronous way without the web service.</p> <p dir="auto"><a href="https://www.nuget.org/packages/Microsoft.KernelMemory.Core/" rel="nofollow"><img src="https://camo.githubusercontent.com/836965309dd9be4ebaabbc23dd33651dbb3619564962eb9c0e1d9dc7fe7b18e9/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e436f7265" alt="Nuget package" data-canonical-src="https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.Core" style="max-width: 100%;"></a> <a href="/microsoft/kernel-memory/blob/main/examples/002-dotnet-Serverless"><img src="https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565" alt="Serverless example" data-canonical-src="https://img.shields.io/badge/example-code-blue" style="max-width: 100%;"></a> <a href="/microsoft/kernel-memory/blob/main/examples/004-dotnet-serverless-custom-pipeline"><img src="https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565" alt="Custom pipeline example" data-canonical-src="https://img.shields.io/badge/example-code-blue" style="max-width: 100%;"></a> <a href="/microsoft/kernel-memory/blob/main/examples/005-dotnet-async-memory-custom-pipeline"><img src="https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565" alt="Custom pipeline example" data-canonical-src="https://img.shields.io/badge/example-code-blue" style="max-width: 100%;"></a></p> </li> <li> <p dir="auto"><strong>Microsoft.KernelMemory.Service.AspNetCore:</strong> an extension to load Kernel Memory into your ASP.NET apps.</p> <p dir="auto"><a href="https://www.nuget.org/packages/Microsoft.KernelMemory.Service.AspNetCore/" rel="nofollow"><img src="https://camo.githubusercontent.com/538ee46e5964abd02a27d4110a0477ee407344fb42c3a2b752c9ef3d36c2738f/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e536572766963652e4173704e6574436f7265" alt="Nuget package" data-canonical-src="https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.Service.AspNetCore" style="max-width: 100%;"></a> <a href="/microsoft/kernel-memory/blob/main/examples/204-dotnet-ASP.NET-MVC-integration"><img src="https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565" alt="Example code" data-canonical-src="https://img.shields.io/badge/example-code-blue" style="max-width: 100%;"></a></p> </li> <li> <p dir="auto"><strong>Microsoft.KernelMemory.SemanticKernelPlugin:</strong> a Memory plugin for Semantic Kernel, replacing the original Semantic Memory available in SK.</p> <p dir="auto"><a href="https://www.nuget.org/packages/Microsoft.KernelMemory.SemanticKernelPlugin/" rel="nofollow"><img src="https://camo.githubusercontent.com/67507a454c7e277b5b95503264c4c355ea97c26cd6d0a7eb55ad004c5d3c59f5/68747470733a2f2f696d672e736869656c64732e696f2f6e756765742f767072652f4d6963726f736f66742e4b65726e656c4d656d6f72792e53656d616e7469634b65726e656c506c7567696e" alt="Nuget package" data-canonical-src="https://img.shields.io/nuget/vpre/Microsoft.KernelMemory.SemanticKernelPlugin" style="max-width: 100%;"></a> <a href="/microsoft/kernel-memory/blob/main/examples/003-dotnet-SemanticKernel-plugin"><img src="https://camo.githubusercontent.com/2fa2be933e6c8aeac491a222ebfeb28f47369868e8c5ca27a510cd4a0f027741/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6578616d706c652d636f64652d626c7565" alt="Example code" data-canonical-src="https://img.shields.io/badge/example-code-blue" style="max-width: 100%;"></a></p> </li> <li> <p dir="auto"><a href="https://www.nuget.org/packages?q=microsoft.kernelmemory" rel="nofollow"><strong>Microsoft.KernelMemory.*</strong> packages</a>: Kernel Memory Core and all KM extensions split into distinct packages.</p> </li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Packages for Python, Java and other languages</h3><a id="user-content-packages-for-python-java-and-other-languages" class="anchor" aria-label="Permalink: Packages for Python, Java and other languages" href="#packages-for-python-java-and-other-languages"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Kernel Memory service offers a <strong>Web API</strong> out of the box, including the <a href="https://editor.swagger.io/?url=https://github.com/microsoft/kernel-memory/blob/main/swagger.json" rel="nofollow"><strong>OpenAPI swagger</strong></a> documentation that you can leverage to test the API and create custom web clients. For instance, after starting the service locally, see <a href="http://127.0.0.1:9001/swagger/index.html" rel="nofollow">http://127.0.0.1:9001/swagger/index.html</a>.</p> <p dir="auto">A .NET Web Client and a Semantic Kernel plugin are available, see the nugets packages above.</p> <p dir="auto">For Python, TypeScript, Java and other languages we recommend leveraging the Web Service. We also welcome PR contributions to support more languages.</p> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Contributors</h1><a id="user-content-contributors" class="anchor" aria-label="Permalink: Contributors" href="#contributors"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <markdown-accessiblity-table><table> <thead> <tr> 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d-flex flex-items-center"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link flex-shrink-0 mr-2"> <path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path> </svg> <span class="flex-auto min-width-0 css-truncate css-truncate-target width-fit"> <a title="https://microsoft.github.io/kernel-memory" role="link" target="_blank" rel="noopener noreferrer nofollow" class="text-bold" 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style="max-width: none;">Kernel Memory 0.98.250324.1</span> <span title="Label: Latest" data-view-component="true" class="Label Label--success flex-shrink-0"> Latest </span> </div> <div class="text-small color-fg-muted"><relative-time datetime="2025-03-24T16:59:32Z" class="no-wrap">Mar 24, 2025</relative-time></div> </div> </a> <div data-view-component="true" class="mt-3"> <a text="small" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/microsoft/kernel-memory/releases" data-view-component="true" class="Link">+ 197 releases</a></div> </div> </div> <div class="BorderGrid-row" hidden> <div class="BorderGrid-cell"> <include-fragment src="/microsoft/kernel-memory/used_by_list" accept="text/fragment+html"> </include-fragment> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/microsoft/kernel-memory/graphs/contributors" data-view-component="true" class="Link--primary no-underline Link d-flex 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