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GitHub - circlemind-ai/fast-graphrag: RAG that intelligently adapts to your use case, data, and queries
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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 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 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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 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">Security</div> Find and fix vulnerabilities </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":"actions","context":"product","tag":"link","label":"actions_link_product_navbar"}" href="https://github.com/features/actions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-workflow color-fg-subtle mr-3"> <path d="M1 3a2 2 0 0 1 2-2h6.5a2 2 0 0 1 2 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20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Discussions</div> Collaborate outside of code </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" data-analytics-event="{"location":"navbar","action":"code_search","context":"product","tag":"link","label":"code_search_link_product_navbar"}" href="https://github.com/features/code-search"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-square color-fg-subtle mr-3"> <path d="M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 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</div> </modal-dialog></div> </div> <div data-action="click:qbsearch-input#retract" class="dark-backdrop position-fixed" hidden data-target="qbsearch-input.darkBackdrop"></div> <div class="color-fg-default"> <dialog-helper> <dialog data-target="qbsearch-input.feedbackDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="feedback-dialog" aria-modal="true" aria-labelledby="feedback-dialog-title" aria-describedby="feedback-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="feedback-dialog-title"> Provide feedback </h1> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="feedback-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button 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seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input 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" aria-labelledby="custom-scopes-dialog-title" aria-describedby="custom-scopes-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header Overlay-header--divided"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="custom-scopes-dialog-title"> Saved searches </h1> <h2 id="custom-scopes-dialog-description" class="Overlay-description">Use saved searches to filter your results more quickly</h2> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="custom-scopes-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" 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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 align=\"center\" dir=\"auto\"\u003e\n \u003c/p\u003e\u003cp align=\"center\" dir=\"auto\"\u003e\u003cb\u003eStreamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows. \u003cbr\u003e \u003ca href=\"https://circlemind.co/\" rel=\"nofollow\"\u003e Looking for a Managed Service? » \u003c/a\u003e \u003c/b\u003e \u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 align=\"center\" tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\n \u003ca href=\"#install\"\u003eInstall\u003c/a\u003e |\n \u003ca href=\"#quickstart\"\u003eQuickstart\u003c/a\u003e |\n \u003ca href=\"https://discord.gg/DvY2B8u4sA\" rel=\"nofollow\"\u003eCommunity\u003c/a\u003e |\n \u003ca href=\"https://github.com/circlemind-ai/fast-graphrag/issues/new?assignees=\u0026amp;labels=\u0026amp;projects=\u0026amp;template=%F0%9F%90%9E-bug-report.md\u0026amp;title=\"\u003eReport Bug\u003c/a\u003e |\n \u003ca href=\"https://github.com/circlemind-ai/fast-graphrag/issues/new?assignees=\u0026amp;labels=\u0026amp;projects=\u0026amp;template=%F0%9F%92%A1-feature-request.md\u0026amp;title=\"\u003eRequest Feature\u003c/a\u003e\n\u003c/h4\u003e\u003ca id=\"user-content---install---quickstart---community---report-bug---request-feature\" class=\"anchor\" aria-label=\"Permalink: Install |\n Quickstart |\n Community |\n Report Bug |\n Request Feature\" href=\"#--install---quickstart---community---report-bug---request-feature\"\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-alert markdown-alert-note\" dir=\"auto\"\u003e\u003cp class=\"markdown-alert-title\" dir=\"auto\"\u003e\u003csvg class=\"octicon octicon-info mr-2\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"M0 8a8 8 0 1 1 16 0A8 8 0 0 1 0 8Zm8-6.5a6.5 6.5 0 1 0 0 13 6.5 6.5 0 0 0 0-13ZM6.5 7.75A.75.75 0 0 1 7.25 7h1a.75.75 0 0 1 .75.75v2.75h.25a.75.75 0 0 1 0 1.5h-2a.75.75 0 0 1 0-1.5h.25v-2h-.25a.75.75 0 0 1-.75-.75ZM8 6a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z\"\u003e\u003c/path\u003e\u003c/svg\u003eNote\u003c/p\u003e\u003cp dir=\"auto\"\u003eUsing \u003cem\u003eThe Wizard of Oz\u003c/em\u003e, \u003ccode\u003efast-graphrag\u003c/code\u003e costs $0.08 vs. \u003ccode\u003egraphrag\u003c/code\u003e $0.48 — \u003cstrong\u003ea 6x costs saving\u003c/strong\u003e that further improves with data size and number of insertions.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNews (and Coming Soon)\u003c/h2\u003e\u003ca id=\"user-content-news-and-coming-soon\" class=\"anchor\" aria-label=\"Permalink: News (and Coming Soon)\" href=\"#news-and-coming-soon\"\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 class=\"contains-task-list\"\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\"\u003e Support for IDF weightening of entities\u003c/li\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\" checked=\"\"\u003e Support for generic entities and concepts (initial commit)\u003c/li\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\" checked=\"\"\u003e [2024.12.02] Benchmarks comparing Fast GraphRAG to LightRAG, GraphRAG and VectorDBs released \u003ca href=\"https://github.com/circlemind-ai/fast-graphrag/blob/main/benchmarks/README.md\"\u003ehere\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eFeatures\u003c/h2\u003e\u003ca id=\"user-content-features\" class=\"anchor\" aria-label=\"Permalink: Features\" href=\"#features\"\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\u003cstrong\u003eInterpretable and Debuggable Knowledge:\u003c/strong\u003e Graphs offer a human-navigable view of knowledge that can be queried, visualized, and updated.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eFast, Low-cost, and Efficient:\u003c/strong\u003e Designed to run at scale without heavy resource or cost requirements.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDynamic Data:\u003c/strong\u003e Automatically generate and refine graphs to best fit your domain and ontology needs.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIncremental Updates:\u003c/strong\u003e Supports real-time updates as your data evolves.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIntelligent Exploration:\u003c/strong\u003e Leverages PageRank-based graph exploration for enhanced accuracy and dependability.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAsynchronous \u0026amp; Typed:\u003c/strong\u003e Fully asynchronous, with complete type support for robust and predictable workflows.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eFast GraphRAG is built to fit seamlessly into your retrieval pipeline, giving you the power of advanced RAG, without the overhead of building and designing agentic workflows.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstall\u003c/h2\u003e\u003ca id=\"user-content-install\" class=\"anchor\" aria-label=\"Permalink: Install\" href=\"#install\"\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\u003eInstall from source (recommended for best performance)\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# clone this repo first\ncd fast_graphrag\npoetry install\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e clone this repo first\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003ecd\u003c/span\u003e fast_graphrag\npoetry install\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eInstall from PyPi (recommended for stability)\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install fast-graphrag\"\u003e\u003cpre\u003epip install fast-graphrag\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eQuickstart\u003c/h2\u003e\u003ca id=\"user-content-quickstart\" class=\"anchor\" aria-label=\"Permalink: Quickstart\" href=\"#quickstart\"\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\"\u003eSet the OpenAI API key in the environment:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"export OPENAI_API_KEY=\u0026quot;sk-...\u0026quot;\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eexport\u003c/span\u003e OPENAI_API_KEY=\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003esk-...\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eDownload a copy of \u003cem\u003eA Christmas Carol\u003c/em\u003e by Charles Dickens:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"curl https://raw.githubusercontent.com/circlemind-ai/fast-graphrag/refs/heads/main/mock_data.txt \u0026gt; ./book.txt\"\u003e\u003cpre\u003ecurl https://raw.githubusercontent.com/circlemind-ai/fast-graphrag/refs/heads/main/mock_data.txt \u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e ./book.txt\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eUse the Python snippet below:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"from fast_graphrag import GraphRAG\n\nDOMAIN = \u0026quot;Analyze this story and identify the characters. Focus on how they interact with each other, the locations they explore, and their relationships.\u0026quot;\n\nEXAMPLE_QUERIES = [\n \u0026quot;What is the significance of Christmas Eve in A Christmas Carol?\u0026quot;,\n \u0026quot;How does the setting of Victorian London contribute to the story's themes?\u0026quot;,\n \u0026quot;Describe the chain of events that leads to Scrooge's transformation.\u0026quot;,\n \u0026quot;How does Dickens use the different spirits (Past, Present, and Future) to guide Scrooge?\u0026quot;,\n \u0026quot;Why does Dickens choose to divide the story into \\\u0026quot;staves\\\u0026quot; rather than chapters?\u0026quot;\n]\n\nENTITY_TYPES = [\u0026quot;Character\u0026quot;, \u0026quot;Animal\u0026quot;, \u0026quot;Place\u0026quot;, \u0026quot;Object\u0026quot;, \u0026quot;Activity\u0026quot;, \u0026quot;Event\u0026quot;]\n\ngrag = GraphRAG(\n working_dir=\u0026quot;./book_example\u0026quot;,\n domain=DOMAIN,\n example_queries=\u0026quot;\\n\u0026quot;.join(EXAMPLE_QUERIES),\n entity_types=ENTITY_TYPES\n)\n\nwith open(\u0026quot;./book.txt\u0026quot;) as f:\n grag.insert(f.read())\n\nprint(grag.query(\u0026quot;Who is Scrooge?\u0026quot;).response)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003efrom\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003efast_graphrag\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-v\"\u003eGraphRAG\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eDOMAIN\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"Analyze this story and identify the characters. Focus on how they interact with each other, the locations they explore, and their relationships.\"\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eEXAMPLE_QUERIES\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e [\n \u003cspan class=\"pl-s\"\u003e\"What is the significance of Christmas Eve in A Christmas Carol?\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"How does the setting of Victorian London contribute to the story's themes?\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"Describe the chain of events that leads to Scrooge's transformation.\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"How does Dickens use the different spirits (Past, Present, and Future) to guide Scrooge?\"\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003e\"Why does Dickens choose to divide the story into \u003cspan class=\"pl-cce\"\u003e\\\"\u003c/span\u003estaves\u003cspan class=\"pl-cce\"\u003e\\\"\u003c/span\u003e rather than chapters?\"\u003c/span\u003e\n]\n\n\u003cspan class=\"pl-c1\"\u003eENTITY_TYPES\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e [\u003cspan class=\"pl-s\"\u003e\"Character\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"Animal\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"Place\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"Object\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"Activity\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"Event\"\u003c/span\u003e]\n\n\u003cspan class=\"pl-s1\"\u003egrag\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-en\"\u003eGraphRAG\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003eworking_dir\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"./book_example\"\u003c/span\u003e,\n \u003cspan class=\"pl-s1\"\u003edomain\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eDOMAIN\u003c/span\u003e,\n \u003cspan class=\"pl-s1\"\u003eexample_queries\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003e\"\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003ejoin\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003eEXAMPLE_QUERIES\u003c/span\u003e),\n \u003cspan class=\"pl-s1\"\u003eentity_types\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eENTITY_TYPES\u003c/span\u003e\n)\n\n\u003cspan class=\"pl-k\"\u003ewith\u003c/span\u003e \u003cspan class=\"pl-en\"\u003eopen\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"./book.txt\"\u003c/span\u003e) \u003cspan class=\"pl-k\"\u003eas\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ef\u003c/span\u003e:\n \u003cspan class=\"pl-s1\"\u003egrag\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003einsert\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ef\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eread\u003c/span\u003e())\n\n\u003cspan class=\"pl-en\"\u003eprint\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003egrag\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003equery\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"Who is Scrooge?\"\u003c/span\u003e).\u003cspan class=\"pl-c1\"\u003eresponse\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe next time you initialize fast-graphrag from the same working directory, it will retain all the knowledge automatically.\u003c/p\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\u003cp dir=\"auto\"\u003ePlease refer to the \u003ccode\u003eexamples\u003c/code\u003e folder for a list of tutorials on common use cases of the library:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003ecustom_llm.py\u003c/code\u003e: a brief example on how to configure fast-graphrag to run with different OpenAI API compatible language models and embedders;\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003echeckpointing.ipynb\u003c/code\u003e: a tutorial on how to use checkpoints to avoid irreversible data corruption;\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003equery_parameters.ipynb\u003c/code\u003e: a tutorial on how to use the different query parameters. In particular, it shows how to include references to the used information in the provided answer (using the \u003ccode\u003ewith_references=True\u003c/code\u003e parameter).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eContributing\u003c/h2\u003e\u003ca id=\"user-content-contributing\" class=\"anchor\" aria-label=\"Permalink: Contributing\" href=\"#contributing\"\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\"\u003eWhether it's big or small, we love contributions. Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Check out our \u003ca href=\"https://github.com/circlemind-ai/fast-graphrag/blob/main/CONTRIBUTING.md\"\u003eguide\u003c/a\u003e to see how to get started.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eNot sure where to get started? You can join our \u003ca href=\"https://discord.gg/DvY2B8u4sA\" rel=\"nofollow\"\u003eDiscord\u003c/a\u003e and ask us any questions there.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePhilosophy\u003c/h2\u003e\u003ca id=\"user-content-philosophy\" class=\"anchor\" aria-label=\"Permalink: Philosophy\" href=\"#philosophy\"\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\"\u003eOur mission is to increase the number of successful GenAI applications in the world. To do that, we build memory and data tools that enable LLM apps to leverage highly specialized retrieval pipelines without the complexity of setting up and maintaining agentic workflows.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFast GraphRAG currently exploit the personalized pagerank algorithm to explore the graph and find the most relevant pieces of information to answer your query. For an overview on why this works, you can check out the HippoRAG paper \u003ca href=\"https://arxiv.org/abs/2405.14831\" rel=\"nofollow\"\u003ehere\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOpen-source or Managed Service\u003c/h2\u003e\u003ca id=\"user-content-open-source-or-managed-service\" class=\"anchor\" aria-label=\"Permalink: Open-source or Managed Service\" href=\"#open-source-or-managed-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\"\u003eThis repo is under the MIT License. See \u003ca href=\"https://github.com/circlemind-ai/fast-graphrag/blob/main/LICENSE\"\u003eLICENSE.txt\u003c/a\u003e for more information.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe fastest and most reliable way to get started with Fast GraphRAG is using our managed service. Your first 100 requests are free every month, after which you pay based on usage.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 align=\"center\" tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\n \u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/circlemind-ai/fast-graphrag/blob/main/demo.gif\"\u003e\u003cimg width=\"800\" src=\"/circlemind-ai/fast-graphrag/raw/main/demo.gif\" alt=\"circlemind fast-graphrag demo\" data-animated-image=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003c/h1\u003e\u003ca id=\"user-content----1\" class=\"anchor\" aria-label=\"Permalink: \" href=\"#---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\u003cp dir=\"auto\"\u003eTo learn more about our managed service, \u003ca href=\"https://circlemind.co/demo\" rel=\"nofollow\"\u003ebook a demo\u003c/a\u003e or see our \u003ca href=\"https://docs.circlemind.co/quickstart\" rel=\"nofollow\"\u003edocs\u003c/a\u003e.\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"","anchor":"--","htmlText":""},{"level":4,"text":"","anchor":"--------------------------","htmlText":""},{"level":4,"text":"Install |\n Quickstart |\n Community |\n Report Bug |\n Request Feature","anchor":"--install---quickstart---community---report-bug---request-feature","htmlText":"Install |\n Quickstart |\n Community |\n Report Bug |\n Request Feature"},{"level":2,"text":"News (and Coming Soon)","anchor":"news-and-coming-soon","htmlText":"News (and Coming Soon)"},{"level":2,"text":"Features","anchor":"features","htmlText":"Features"},{"level":2,"text":"Install","anchor":"install","htmlText":"Install"},{"level":2,"text":"Quickstart","anchor":"quickstart","htmlText":"Quickstart"},{"level":2,"text":"Examples","anchor":"examples","htmlText":"Examples"},{"level":2,"text":"Contributing","anchor":"contributing","htmlText":"Contributing"},{"level":2,"text":"Philosophy","anchor":"philosophy","htmlText":"Philosophy"},{"level":2,"text":"Open-source or Managed Service","anchor":"open-source-or-managed-service","htmlText":"Open-source or Managed Service"},{"level":1,"text":"","anchor":"---1","htmlText":""}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fcirclemind-ai%2Ffast-graphrag"}},{"displayName":"CODE_OF_CONDUCT.md","repoName":"fast-graphrag","refName":"main","path":"CODE_OF_CONDUCT.md","preferredFileType":"code_of_conduct","tabName":"Code of 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src="https://camo.githubusercontent.com/5660a630c872cb5915eedfb2f547c07e715cdd559cc23b6d3702f6823a1ce868/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e2d3e3d332e31302e312d626c7565" data-canonical-src="https://img.shields.io/badge/python->=3.10.1-blue" style="max-width: 100%;"></a> </h4><a id="user-content---------------------------" class="anchor" aria-label="Permalink: " href="#--------------------------"><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 align="center" dir="auto"> </p><p align="center" dir="auto"><b>Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows. <br> <a href="https://circlemind.co/" rel="nofollow"> Looking for a Managed Service? » </a> </b> </p> <p dir="auto"></p> <div class="markdown-heading" dir="auto"><h4 align="center" tabindex="-1" class="heading-element" dir="auto"> <a href="#install">Install</a> | <a href="#quickstart">Quickstart</a> | <a href="https://discord.gg/DvY2B8u4sA" rel="nofollow">Community</a> | <a href="https://github.com/circlemind-ai/fast-graphrag/issues/new?assignees=&labels=&projects=&template=%F0%9F%90%9E-bug-report.md&title=">Report Bug</a> | <a href="https://github.com/circlemind-ai/fast-graphrag/issues/new?assignees=&labels=&projects=&template=%F0%9F%92%A1-feature-request.md&title=">Request Feature</a> </h4><a id="user-content---install---quickstart---community---report-bug---request-feature" class="anchor" aria-label="Permalink: Install | Quickstart | Community | Report Bug | Request Feature" href="#--install---quickstart---community---report-bug---request-feature"><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-alert markdown-alert-note" dir="auto"><p class="markdown-alert-title" dir="auto"><svg class="octicon octicon-info mr-2" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M0 8a8 8 0 1 1 16 0A8 8 0 0 1 0 8Zm8-6.5a6.5 6.5 0 1 0 0 13 6.5 6.5 0 0 0 0-13ZM6.5 7.75A.75.75 0 0 1 7.25 7h1a.75.75 0 0 1 .75.75v2.75h.25a.75.75 0 0 1 0 1.5h-2a.75.75 0 0 1 0-1.5h.25v-2h-.25a.75.75 0 0 1-.75-.75ZM8 6a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"></path></svg>Note</p><p dir="auto">Using <em>The Wizard of Oz</em>, <code>fast-graphrag</code> costs $0.08 vs. <code>graphrag</code> $0.48 — <strong>a 6x costs saving</strong> that further improves with data size and number of insertions.</p> </div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">News (and Coming Soon)</h2><a id="user-content-news-and-coming-soon" class="anchor" aria-label="Permalink: News (and Coming Soon)" href="#news-and-coming-soon"><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 class="contains-task-list"> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox"> Support for IDF weightening of entities</li> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> Support for generic entities and concepts (initial commit)</li> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> [2024.12.02] Benchmarks comparing Fast GraphRAG to LightRAG, GraphRAG and VectorDBs released <a href="https://github.com/circlemind-ai/fast-graphrag/blob/main/benchmarks/README.md">here</a></li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Features</h2><a id="user-content-features" class="anchor" aria-label="Permalink: Features" href="#features"><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><strong>Interpretable and Debuggable Knowledge:</strong> Graphs offer a human-navigable view of knowledge that can be queried, visualized, and updated.</li> <li><strong>Fast, Low-cost, and Efficient:</strong> Designed to run at scale without heavy resource or cost requirements.</li> <li><strong>Dynamic Data:</strong> Automatically generate and refine graphs to best fit your domain and ontology needs.</li> <li><strong>Incremental Updates:</strong> Supports real-time updates as your data evolves.</li> <li><strong>Intelligent Exploration:</strong> Leverages PageRank-based graph exploration for enhanced accuracy and dependability.</li> <li><strong>Asynchronous & Typed:</strong> Fully asynchronous, with complete type support for robust and predictable workflows.</li> </ul> <p dir="auto">Fast GraphRAG is built to fit seamlessly into your retrieval pipeline, giving you the power of advanced RAG, without the overhead of building and designing agentic workflows.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Install</h2><a id="user-content-install" class="anchor" aria-label="Permalink: Install" href="#install"><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>Install from source (recommended for best performance)</strong></p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# clone this repo first cd fast_graphrag poetry install"><pre><span class="pl-c"><span class="pl-c">#</span> clone this repo first</span> <span class="pl-c1">cd</span> fast_graphrag poetry install</pre></div> <p dir="auto"><strong>Install from PyPi (recommended for stability)</strong></p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install fast-graphrag"><pre>pip install fast-graphrag</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Quickstart</h2><a id="user-content-quickstart" class="anchor" aria-label="Permalink: Quickstart" href="#quickstart"><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">Set the OpenAI API key in the environment:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="export OPENAI_API_KEY="sk-...""><pre><span class="pl-k">export</span> OPENAI_API_KEY=<span class="pl-s"><span class="pl-pds">"</span>sk-...<span class="pl-pds">"</span></span></pre></div> <p dir="auto">Download a copy of <em>A Christmas Carol</em> by Charles Dickens:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="curl https://raw.githubusercontent.com/circlemind-ai/fast-graphrag/refs/heads/main/mock_data.txt > ./book.txt"><pre>curl https://raw.githubusercontent.com/circlemind-ai/fast-graphrag/refs/heads/main/mock_data.txt <span class="pl-k">></span> ./book.txt</pre></div> <p dir="auto">Use the Python snippet below:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="from fast_graphrag import GraphRAG DOMAIN = "Analyze this story and identify the characters. Focus on how they interact with each other, the locations they explore, and their relationships." EXAMPLE_QUERIES = [ "What is the significance of Christmas Eve in A Christmas Carol?", "How does the setting of Victorian London contribute to the story's themes?", "Describe the chain of events that leads to Scrooge's transformation.", "How does Dickens use the different spirits (Past, Present, and Future) to guide Scrooge?", "Why does Dickens choose to divide the story into \"staves\" rather than chapters?" ] ENTITY_TYPES = ["Character", "Animal", "Place", "Object", "Activity", "Event"] grag = GraphRAG( working_dir="./book_example", domain=DOMAIN, example_queries="\n".join(EXAMPLE_QUERIES), entity_types=ENTITY_TYPES ) with open("./book.txt") as f: grag.insert(f.read()) print(grag.query("Who is Scrooge?").response)"><pre><span class="pl-k">from</span> <span class="pl-s1">fast_graphrag</span> <span class="pl-k">import</span> <span class="pl-v">GraphRAG</span> <span class="pl-c1">DOMAIN</span> <span class="pl-c1">=</span> <span class="pl-s">"Analyze this story and identify the characters. Focus on how they interact with each other, the locations they explore, and their relationships."</span> <span class="pl-c1">EXAMPLE_QUERIES</span> <span class="pl-c1">=</span> [ <span class="pl-s">"What is the significance of Christmas Eve in A Christmas Carol?"</span>, <span class="pl-s">"How does the setting of Victorian London contribute to the story's themes?"</span>, <span class="pl-s">"Describe the chain of events that leads to Scrooge's transformation."</span>, <span class="pl-s">"How does Dickens use the different spirits (Past, Present, and Future) to guide Scrooge?"</span>, <span class="pl-s">"Why does Dickens choose to divide the story into <span class="pl-cce">\"</span>staves<span class="pl-cce">\"</span> rather than chapters?"</span> ] <span class="pl-c1">ENTITY_TYPES</span> <span class="pl-c1">=</span> [<span class="pl-s">"Character"</span>, <span class="pl-s">"Animal"</span>, <span class="pl-s">"Place"</span>, <span class="pl-s">"Object"</span>, <span class="pl-s">"Activity"</span>, <span class="pl-s">"Event"</span>] <span class="pl-s1">grag</span> <span class="pl-c1">=</span> <span class="pl-en">GraphRAG</span>( <span class="pl-s1">working_dir</span><span class="pl-c1">=</span><span class="pl-s">"./book_example"</span>, <span class="pl-s1">domain</span><span class="pl-c1">=</span><span class="pl-c1">DOMAIN</span>, <span class="pl-s1">example_queries</span><span class="pl-c1">=</span><span class="pl-s">"<span class="pl-cce">\n</span>"</span>.<span class="pl-c1">join</span>(<span class="pl-c1">EXAMPLE_QUERIES</span>), <span class="pl-s1">entity_types</span><span class="pl-c1">=</span><span class="pl-c1">ENTITY_TYPES</span> ) <span class="pl-k">with</span> <span class="pl-en">open</span>(<span class="pl-s">"./book.txt"</span>) <span class="pl-k">as</span> <span class="pl-s1">f</span>: <span class="pl-s1">grag</span>.<span class="pl-c1">insert</span>(<span class="pl-s1">f</span>.<span class="pl-c1">read</span>()) <span class="pl-en">print</span>(<span class="pl-s1">grag</span>.<span class="pl-c1">query</span>(<span class="pl-s">"Who is Scrooge?"</span>).<span class="pl-c1">response</span>)</pre></div> <p dir="auto">The next time you initialize fast-graphrag from the same working directory, it will retain all the knowledge automatically.</p> <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> <p dir="auto">Please refer to the <code>examples</code> folder for a list of tutorials on common use cases of the library:</p> <ul dir="auto"> <li><code>custom_llm.py</code>: a brief example on how to configure fast-graphrag to run with different OpenAI API compatible language models and embedders;</li> <li><code>checkpointing.ipynb</code>: a tutorial on how to use checkpoints to avoid irreversible data corruption;</li> <li><code>query_parameters.ipynb</code>: a tutorial on how to use the different query parameters. In particular, it shows how to include references to the used information in the provided answer (using the <code>with_references=True</code> parameter).</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Contributing</h2><a id="user-content-contributing" class="anchor" aria-label="Permalink: Contributing" href="#contributing"><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">Whether it's big or small, we love contributions. Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Check out our <a href="https://github.com/circlemind-ai/fast-graphrag/blob/main/CONTRIBUTING.md">guide</a> to see how to get started.</p> <p dir="auto">Not sure where to get started? You can join our <a href="https://discord.gg/DvY2B8u4sA" rel="nofollow">Discord</a> and ask us any questions there.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Philosophy</h2><a id="user-content-philosophy" class="anchor" aria-label="Permalink: Philosophy" href="#philosophy"><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">Our mission is to increase the number of successful GenAI applications in the world. To do that, we build memory and data tools that enable LLM apps to leverage highly specialized retrieval pipelines without the complexity of setting up and maintaining agentic workflows.</p> <p dir="auto">Fast GraphRAG currently exploit the personalized pagerank algorithm to explore the graph and find the most relevant pieces of information to answer your query. For an overview on why this works, you can check out the HippoRAG paper <a href="https://arxiv.org/abs/2405.14831" rel="nofollow">here</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Open-source or Managed Service</h2><a id="user-content-open-source-or-managed-service" class="anchor" aria-label="Permalink: Open-source or Managed Service" href="#open-source-or-managed-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">This repo is under the MIT License. See <a href="https://github.com/circlemind-ai/fast-graphrag/blob/main/LICENSE">LICENSE.txt</a> for more information.</p> <p dir="auto">The fastest and most reliable way to get started with Fast GraphRAG is using our managed service. 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1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> </div> <div id="js-global-screen-reader-notice" class="sr-only mt-n1" aria-live="polite" aria-atomic="true" ></div> <div id="js-global-screen-reader-notice-assertive" class="sr-only mt-n1" aria-live="assertive" aria-atomic="true"></div> </body> </html>