Open Source Vector Database

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#module_16896903067153 .cr-clusters-introtext { margin-right: 0; } .cr-header-meta-bar > div > div { flex-direction: column; text-align: center; font-size: 14px; } .cr-meta-item { margin-right: 10px; } .cr-header-speakers { margin-top: 40px; } } </style> <div class="cr-clusters-container cr-customers-header-sub"> <div class="cr-clusters-left"> <span class="cr-header-section">Product > Data models</span> <div class="cr-clusters-header "> <h1 style="color: rgba(255, 255, 255, 1.0);">Vector Data</h1> </div> <div class="cr-clusters-introtext"> CrateDB maximizes the potential of vector data with a single, scalable database that can be queried with SQL and streamlines data management, significantly reducing development time and total cost of ownership. </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-3 dnd-section"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-4 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1697632573455" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><div class="horizontal-code-tab line-numbers"> <div class="tab tab-head"> <div class="heading-content"> <h2 style="font-size: 36px;">Vector data querying with SQL</h2> <p style="font-size: 18px;">Hyper-fast. Queries in milliseconds.</p> </div> <button class="tablinks widget_1697632573455-codetabl" onclick="openCodeTabwidget_1697632573455(event, 'widget_1697632573455-Codetab1')" id="widget_1697632573455-defaultOpen"> <svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 69.969 56.814" width="20" height="17"> <g id="subheader" transform="translate(96.312 88.344) rotate(180)"> <g id="back" transform="translate(32 34.358)"> <path id="arrow_tip" data-name="Path 42" d="M0,36.174H36.174V0" transform="translate(51.158 25.579) rotate(135)" fill="none" stroke="#18b8e7" stroke-width="8"></path> <line id="arrow_line" data-name="Line 1" x2="63.051" transform="translate(1.261 25.579)" fill="none" stroke="#18b8e7" stroke-linejoin="round" stroke-width="8"></line> </g> </g> </svg> Similar embeddings for a specific query</button> <button class="tablinks widget_1697632573455-codetabl" onclick="openCodeTabwidget_1697632573455(event, 'widget_1697632573455-Codetab2')"> <svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 69.969 56.814" width="20" height="17"> <g id="subheader" transform="translate(96.312 88.344) rotate(180)"> <g id="back" transform="translate(32 34.358)"> <path id="arrow_tip" data-name="Path 42" d="M0,36.174H36.174V0" transform="translate(51.158 25.579) rotate(135)" fill="none" stroke="#18b8e7" stroke-width="8"></path> <line id="arrow_line" data-name="Line 1" x2="63.051" transform="translate(1.261 25.579)" fill="none" stroke="#18b8e7" stroke-linejoin="round" stroke-width="8"></line> </g> </g> </svg> Compare how similar other data points are in comparison to an example text</button> </div> <div class="tab tab-body"> <div id="widget_1697632573455-Codetab1" class="tabcontent widget_1697632573455-codetabc"> <div class="tab-container"> <div class="tab-pane show active widget_1697632573455-pane-number1" role="tabpanel" id="widget_1697632573455-Statement1"> <pre class="language-sql line-numbers no-whitespace-normalization" data-start="1"> <code class="language-sql no-whitespace-normalization"><pre><code> SELECT text, _score FROM word_embeddings WHERE knn_match(embedding,[0.3, 0.6, 0.0, 0.9], 2) ORDER BY _score DESC; </code></pre> </code> </pre> </div> <div class="tab-pane widget_1697632573455-pane-number1" role="tabpanel" aria-labelledby="cr-la-1-tab" id="widget_1697632573455-Result1"> <pre class="language-sql line-numbers no-whitespace-normalization"> <code class="language-sql no-whitespace-normalization"><pre class="language-sql line-numbers"><code class="language-sql"> |------------------------|--------| | text | _score | |------------------------|--------| |Discovering galaxies |0.917431| |Discovering moon |0.909090| |Exploring the cosmos |0.909090| |Sending the mission |0.270270| |------------------------|--------| </code></pre> </code> </pre> </div> <div class="tab-pills statement-result"> <button class="tab-pill widget_1697632573455-pill-number1 active" onclick="openPillwidget_16976325734551(event, 'widget_1697632573455-Statement1')">Statement</button> <button class="tab-pill widget_1697632573455-pill-number1" onclick="openPillwidget_16976325734551(event, 'widget_1697632573455-Result1')">Result</button> </div> </div> </div> <script> function openPillwidget_16976325734551(evt1, widget_1697632573455) { var i, tabcontentwidget_1697632573455, tablinkswidget_1697632573455; 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for (i = 0; i < tablinkswidget_1697632573455.length; i++) { tablinkswidget_1697632573455[i].className = tablinkswidget_1697632573455[i].className.replace(" active", ""); } document.getElementById(widget_1697632573455).style.display = "block"; evt1.currentTarget.className += " active"; } document.getElementById("widget_1697632573455-defaultOpen").click(); </script> <div id="widget_1697632573455-Codetab2" class="tabcontent widget_1697632573455-codetabc"> <div class="tab-container"> <div class="tab-pane show active widget_1697632573455-pane-number2" role="tabpanel" id="widget_1697632573455-Statement2"> <pre class="language-sql line-numbers no-whitespace-normalization" data-start="1"> <code class="language-sql no-whitespace-normalization"><pre><code> SELECT text, _score FROM word_embeddings WHERE knn_match(embedding, (SELECT embedding FROM word_embeddings WHERE text ='Discovering galaxies'), 2) ORDER BY _score DESC </code></pre> </code> </pre> </div> <div class="tab-pane widget_1697632573455-pane-number2" role="tabpanel" aria-labelledby="cr-la-1-tab" id="widget_1697632573455-Result2"> <pre class="language-sql line-numbers no-whitespace-normalization"> <code class="language-sql no-whitespace-normalization"><pre class="language-sql line-numbers"><code class="language-sql"> |------------------------|--------| | text | _score | |------------------------|--------| |Discovering galaxies |1 | |Discovering moon |0.952381| |Exploring the cosmos |0.840336| |Sending the mission |0.250626| |------------------------|--------| </code></pre> </code> </pre> </div> <div class="tab-pills statement-result"> <button class="tab-pill widget_1697632573455-pill-number2 active" onclick="openPillwidget_16976325734552(event, 'widget_1697632573455-Statement2')">Statement</button> <button class="tab-pill widget_1697632573455-pill-number2" onclick="openPillwidget_16976325734552(event, 'widget_1697632573455-Result2')">Result</button> </div> </div> </div> <script> function openPillwidget_16976325734552(evt2, widget_1697632573455) { var i, tabcontentwidget_1697632573455, tablinkswidget_1697632573455; 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} #widget_1689690959169 .cr-featuresbox-container { background: #fff; margin: 30px auto 20px; position: relative; padding: 30px 40px 30px 40px; box-shadow: 0px 8px 22px #0000001C; border: 1px solid #FFFFFF1C; overflow: hidden; transition: box-shadow 0.3s ease-in-out; } #widget_1689690959169 .cr-featuresbox-headline { padding-right: 30px; } #widget_1689690959169 .cr-featuresbox-headline h3 { font-size: 28px; font-weight: bold; letter-spacing: -0.64px; margin-top: 0; margin-bottom: 16px; } #widget_1689690959169 .cr-featuresbox-icon img { max-width: 24px !important; position: absolute; /*right: 20px;*/ right: 10px; /*bottom: -24px;*/ top: 10px; opacity: .2; } #widget_1689690959169 .cr-featuresbox-link { position: absolute; top: 0; right: 0; bottom: 0; left: 0; display: block; z-index: 9; display: flex; justify-content: space-between; align-items: center; } #widget_1689690959169 .cr-featuresbox-link svg { max-width: 30px; height: auto; margin-right: 24px; position: absolute; right: 0px; z-index: -1; 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} @media all and (max-width: 767px) { #widget_1689690959169 .cr-featuresbox-container { padding: 20px 30px 20px 30px; } #widget_1689690959169 .cr-featuresbox-text { padding-right: 0px; } #widget_1689690959169 .cr-featuresbox-link { align-items: flex-start; } #widget_1689690959169 .cr-featuresbox-headline { padding-right: 0px; } #widget_1689690959169 .cr-featuresbox-link svg { margin-top: 24px; } #widget_1689690959169 .cr-featuresbox-headline h3 { font-size: 22px; padding-right: 30px; } } </style> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Streamlined data management</h3> </div> <div class="cr-featuresbox-text"> <p>Eliminate the need to manage multiple systems. CrateDB seamlessly integrates your data, keeping your (meta-)data and vector representations aligned without the complexity of data synchronization processes. Not only does it offer powerful vector search capabilities, but it also seamlessly integrates with <a href="/solutions/time-series-database" rel="noopener">time series</a>, <a href="/solutions/geospatial-database" rel="noopener">geospatial</a>, JSON, <a href="/product/features/full-text-search" rel="noopener">full-text search</a>, and <a href="/product/features/flexible-data-modeling" rel="noopener">other data types</a>.</p> </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="lazy" width="512" height="512" style="max-width: 100%; height: auto;" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Data enriched with semantics</h3> </div> <div class="cr-featuresbox-text"> <p>Seamlessly add vector data types to any row in the database, providing context aligned with your (meta-)data and enhancing explainability.</p> </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="" width="512" height="512" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Advanced search capabilities</h3> </div> <div class="cr-featuresbox-text"> Combine vector, <a href="/product/features/full-text-search" rel="noopener">full-text</a>, and keyword searches for improved semantic similarity and keyword matching, enhancing search precision and relevance. </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="" width="512" height="512" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Enhanced AI model integration</h3> </div> <div class="cr-featuresbox-text"> Leverage CrateDB's native support for complex data analytics to speed up integration with AI models, optimizing your AI projects. </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="lazy" width="512" height="512" style="max-width: 100%; height: auto;" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Improved scalability</h3> </div> <div class="cr-featuresbox-text"> Handle vector data with confidence, eliminating the need for separate vector databases and enabling smoother scaling as your data grows. </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="lazy" width="512" height="512" style="max-width: 100%; height: auto;" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Faster development & lower maintenance</h3> </div> <div class="cr-featuresbox-text"> Save time in development by avoiding the integration and learning curve associated with external solutions for vector data storage and retrieval. </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="lazy" width="512" height="512" style="max-width: 100%; height: auto;" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-readmore"> <a class="hs-button" href="https://cratedb.com/database"> Learn more about the product </a> </div> </div></div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-7 dnd-section dnd_area-row-3-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-8 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1736339409302" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> [id^=widget_1736339409302-details] { /*display: none;*/ position: fixed; 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} } </style> <div class="cr-featureboxes-container"> <div class="cr-featureboxes-item "> <div class="cr-featurebox-headline-mobile"> <h3>Keynote - The transformative effects of real-time AI </h3> </div> <div class="cr-featureboxes-left"> <div class="cr-featureboxes-left-image"> <div class="hs-video-widget" data-hsv-embed-id="eebbcc1f-0044-4875-a2cc-4f71db997ff8"> <div class="hs-video-container" style="max-width: 100%; margin: 0 auto;"> <div class="hs-video-wrapper" style="position: relative; height: 0; padding-bottom: 56.25%"> <iframe data-hsv-src="https://play.hubspotvideo.com/v/19927462/id/184659010887" referrerpolicy="origin" sandbox="allow-forms allow-scripts allow-same-origin allow-popups" allow="autoplay; fullscreen;" style="position: absolute !important; width: 100% !important; height: 100% !important; left: 0; top: 0; border: 0 none; pointer-events: initial" title="HubSpot Video" loading="lazy" data-hsv-id="184659010887" data-hsv-full-width="false"></iframe> </div> </div> </div> </div> </div> <div class="cr-featureboxes-right"> <div class="cr-featurebox-headline-desktop"> <h3>Keynote - The transformative effects of real-time AI </h3> </div> <div class="cr-featureboxes-right-text"> In this keynote at the AI & Big Data Expo Europe 2023, CrateDB's VP Product shares his vision for the future with multi-model SQL databases and Large Language Models. </div> </div> </div> <div class="cr-featureboxes-item "> <div class="cr-featurebox-headline-mobile"> <h3>Dev Talk - How to use private data in generative AI</h3> </div> <div class="cr-featureboxes-left"> <div class="cr-featureboxes-left-image"> <div class="hs-video-widget" data-hsv-embed-id="f5b9edad-c298-42c9-b561-16a937f81233"> <div class="hs-video-container" style="max-width: 100%; margin: 0 auto;"> <div class="hs-video-wrapper" style="position: relative; height: 0; padding-bottom: 56.25%"> <iframe data-hsv-src="https://play.hubspotvideo.com/v/19927462/id/184658551408" referrerpolicy="origin" sandbox="allow-forms allow-scripts allow-same-origin allow-popups" allow="autoplay; fullscreen;" style="position: absolute !important; width: 100% !important; height: 100% !important; left: 0; top: 0; border: 0 none; pointer-events: initial" title="HubSpot Video" loading="lazy" data-hsv-id="184658551408" data-hsv-full-width="false"></iframe> </div> </div> </div> </div> </div> <div class="cr-featureboxes-right"> <div class="cr-featurebox-headline-desktop"> <h3>Dev Talk - How to use private data in generative AI</h3> </div> <div class="cr-featureboxes-right-text"> This talk at Fosdem 2024 focuses on the combination of CrateDB and LangChain: it helps get started with using private data as context for large language models through LangChain, incorporating the concept of Retrieval Augmented Generation (RAG). </div> </div> </div> <div class="cr-featureboxes-item "> <div class="cr-featurebox-headline-mobile"> <h3>5 essential things you need to know about vector databases</h3> </div> <div class="cr-featureboxes-left"> <div class="cr-featureboxes-left-image"> <div class="cr-fb-cta"> <span id="hs_cos_wrapper_widget_1736339409302_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_cta" style="" data-hs-cos-general-type="widget" data-hs-cos-type="cta"><div class="hs-cta-embed hs-cta-simple-placeholder hs-cta-embed-155702273438" style="max-width:100%; max-height:100%; width:564px;height:348px" data-hubspot-wrapper-cta-id="155702273438"> <a href="/hs/cta/wi/redirect?encryptedPayload=AVxigLLg6QhfNa7%2FXs%2FR9dn66PMeAxMetSAt2TvYwhMgF4cmdmUAC19a6nQX1fe6sPKfU6zgEdhVuVHaYnTIoHKZVl6t5I5bsbqtjW8UqCzkUTnmA8PjPZNwdZrW7UVngF4QfoRAOzC2MZiVzJJjSLdCkaifvZ7c3mjpJNPaM9cKvEbSZbUBFYuEigOfp9LlwOyJGVyLK40i%2FlUiTlg9nnwnTmNesdjb8rdGrFlsbOeYpP0KhfKTThQ%3D&webInteractiveContentId=155702273438&portalId=19927462" target="_blank" rel="noopener" crossorigin="anonymous"> <img alt="Infographic-Vector-Database-Essentials" loading="lazy" src="https://no-cache.hubspot.com/cta/default/19927462/interactive-155702273438.png" style="height: 100%; width: 100%; object-fit: fill" onerror="this.style.display='none'"> </a> </div> </span> </div> </div> </div> <div class="cr-featureboxes-right"> <div class="cr-featurebox-headline-desktop"> <h3>5 essential things you need to know about vector databases</h3> </div> <div class="cr-featureboxes-right-text"> <p>This infographic gives you some basic understanding of vector databases, from what you should look for when choosing one to combining vector data with other data types.</p> <p></p><div class="hs-web-interactive-inline" style="" data-hubspot-wrapper-cta-id="155702273563"> <a href="https://cta-service-cms2.hubspot.com/web-interactives/public/v1/track/click?encryptedPayload=AVxigLLufsIgp%2Bdhr4QFLh48xtfKrbFWqnUJFIor%2B%2BA4mK2PHVI27uzYyaIbSweG3gunKKsJ9xvMkof2Ap%2B%2FcX0OptQ%2BkKOqhWVmfv0C%2BZ%2BP9L2280L9yFijoOBkbwwE0CuvRE%2B2JIwL0qX4P%2FtlcmEgCuaclnvbE32pR3JIgw3Ia1t598FXvG1bb1a7f0qQbPbuq314KuHJX7UM6VBjXY0Zpqo9gO4n00YqnNX5bUbPRDfIc0NYjrw%3D&portalId=19927462" target="_blank" class="hs-inline-web-interactive-155702273563 hs-button " data-hubspot-cta-id="155702273563"> Download now </a> </div><p></p> </div> </div> </div> <div class="cr-featureboxes-item "> <div class="cr-featurebox-headline-mobile"> <h3>Demo – Harnessing CrateDB’s multi-model capabilities for AI-powered applications</h3> </div> <div class="cr-featureboxes-left"> <div class="cr-featureboxes-left-image"> <div class="hs-video-widget" data-hsv-embed-id="a34dad9b-1b9a-44f0-aa49-ccab63d26b7d"> <div class="hs-video-container" style="max-width: 100%; margin: 0 auto;"> <div class="hs-video-wrapper" style="position: relative; height: 0; padding-bottom: 56.25%"> <iframe data-hsv-src="https://play.hubspotvideo.com/v/19927462/id/165816192370" referrerpolicy="origin" sandbox="allow-forms allow-scripts allow-same-origin allow-popups" allow="autoplay; fullscreen;" style="position: absolute !important; width: 100% !important; height: 100% !important; left: 0; top: 0; border: 0 none; pointer-events: initial" title="HubSpot Video" loading="lazy" data-hsv-id="165816192370" data-hsv-full-width="false"></iframe> </div> </div> </div> </div> </div> <div class="cr-featureboxes-right"> <div class="cr-featurebox-headline-desktop"> <h3>Demo – Harnessing CrateDB’s multi-model capabilities for AI-powered applications</h3> </div> <div class="cr-featureboxes-right-text"> In this video, we explore the integration of CrateDB and PyCaret to detect anomalies in machine data, crucial for identifying potential failures or inefficiencies in technological systems. CrateDB's capability for handling large-scale data with ease pairs seamlessly with PyCaret's low-code approach to machine learning, offering a streamlined path to uncovering insights within vast datasets. </div> </div> </div> </div> </div></div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-9 dnd-section dnd_area-row-4-background-layers dnd_area-row-4-background-color"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-10 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_16958836356405" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><div class="cr-getstarted-items-wrapper" id="module_16958836356405"> <style> #module_16958836356405.cr-getstarted-items-wrapper { /*max-width: 1760px;*/ margin: 0 auto; } #module_16958836356405 .cr-getstarted-header { margin-bottom: 32px; display: flex; align-items: center; margin-right: 20px; } #module_16958836356405 .cr-getstarted-item { margin-right: 20px; } #module_16958836356405 .cr-getstarted-items { display: flex; flex-direction: row; } #module_16958836356405 .cr-getstarted-header h2 { letter-spacing: -2.04px; color: #0A2327; margin-right: 30px; margin-bottom: 0; font-family: Montserrat, Inter, Arial, sans-serif !important; font-weight: 600; } #module_16958836356405 .cr-getstarted-header svg { height: 50px; width: auto; } #module_16958836356405 .cr-getstarted-container.cr-gestarted-inline { display: flex; align-items: center; /*justify-content: space-between;*/ } #module_16958836356405 .cr-gestarted-inline .cr-getstarted-header, #module_16958836356405 .cr-gestarted-inline .cr-getstarted-header h2 { margin-bottom: 0px; } @media all and (max-width: 767px) { #module_16958836356405 .cr-getstarted-container.cr-gestarted-inline { display: block; } #module_16958836356405 .cr-gestarted-inline .cr-getstarted-header { margin-bottom: 20px; } #module_16958836356405 .cr-gestarted-inline .cr-getstarted-header h2 { margin-bottom: 12px; } #module_16958836356405 .cr-getstarted-header svg { height: 30px; margin-bottom: 12px; } } </style> <div class="cr-getstarted-container cr-gestarted-inline"> <div class="cr-getstarted-header"> <h2>Curious to learn more?</h2> </div> <div class="cr-getstarted-items"> <div class="cr-getstarted-item"> <div class="hs-web-interactive-inline" style="" data-hubspot-wrapper-cta-id="136753339061"> <a href="https://cta-service-cms2.hubspot.com/web-interactives/public/v1/track/click?encryptedPayload=AVxigLLhWHjRcR0Mro67ybKI3OBJH0h9jikyhhe9tKZ2aYZWrLSHLreiRr%2F%2BHFAa2%2Fi1O2XO%2FrJKzbNbhmLLy%2BzZdQi87R62SKLfX3w5frVx4w6z9swBAD20HgGhBb2E1sPoE2n%2BfQ2CWYGY1YwywKaO3xUx68ouLhGoKWbc%2FG2EDfIdow%3D%3D&portalId=19927462" target="_blank" rel="noopener" class="hs-inline-web-interactive-136753339061 hs-button " data-hubspot-cta-id="136753339061"> Start free </a> </div> </div> <div class="cr-getstarted-item"> <div class="hs-web-interactive-inline" style="" data-hubspot-wrapper-cta-id="178354187893"> <a href="https://cta-service-cms2.hubspot.com/web-interactives/public/v1/track/click?encryptedPayload=AVxigLJGHG2p3DrfPDYxmBgP02fw4GVz%2BC0HVp9F%2FgZN6UbFZ%2Bx%2FGYCTkGtSsxZ8E8C5nuQ8Ee9Qx2JQgimQGTvHqWBbr5U4SPElO01wmFIO75Kdqb5bcm5xvp0HAEA1J1FvLtGc9nk8ZyvG%2FT3tnPx5qX%2Fv4fqu81EU6o5BnBEmdw%3D%3D&portalId=19927462" target="_blank" rel="noopener" class="hs-inline-web-interactive-178354187893 hs-button " data-hubspot-cta-id="178354187893"> Contact us </a> </div> </div> </div> </div> </div></div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-11 dnd-section dnd_area-row-5-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-12 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1689861382790" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><div class="advanced-richtext body_text_regular"> <span id="hs_cos_wrapper_widget_1689861382790_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><p>CrateDB stands as a <strong>vector store database </strong>with key features that elevate its capabilities: <strong>vector storage and similarity search</strong>.</p> <ul> <li><strong>Vector storage </strong>empowers users to efficiently store embeddings produced by their preferred machine learning models, creating a streamlined method for managing and accessing vectorized data.</li> <li><strong>Similarity search</strong> enables users to effortlessly discover similarities within datasets represented as vectors, fostering advanced data exploration and in-depth analysis. </li> </ul> <p>By offering these vector database capabilities within a single, scalable product, CrateDB streamlines data management, cutting down both development time and total cost of ownership.</p></span> </div></div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-13 dnd_area-row-6-padding dnd-section"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-14 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1697632290961" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> #widget_1697632290961 h2.cr-headline { font-size: 30px; letter-spacing: -1.7px; margin-right: 20px; margin-bottom: 40px; font-family: Montserrat, Inter, Arial, sans-serif !important; font-weight: 600; line-height: 1.3; margin-bottom: 0px !important; margin-top: 0px !important; } h3.cr-subheadline { font-style: normal; font-weight: 400; font-size: 20px; line-height: 1.3; color: #000; margin-top: 4px; margin-bottom: 0; margin-bottom: 0px !important; margin-top: 0px !important; } @media all and (max-width: 767px) { #widget_1697632290961 h2.cr-headline { font-size: 20px; margin-bottom: 20px; margin-bottom: 0px !important; margin-top: 0px !important; } h3.cr-subheadline { font-size: 18px; } } </style> <h2 id="widget_1697632290961" class="cr-headline" style="">Typical use cases for vector databases</h2> </div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-15 dnd-section dnd_area-row-7-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-16 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1697705898825" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_widget_1697705898825_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><p>Unlock the potential of CrateDB's <span style="font-weight: bold;">vector storage</span> and <span style="font-weight: bold;">similarity search</span> across a rang<span style="font-weight: normal;">e of industries and applications:</span></p></span></div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-17 dnd_area-row-8-max-width-section-centering dnd-section dnd_area-row-8-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-18 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_1697632265582" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><div class="cr-featuresbox-items-wrapper" id="module_1697632265582"> <style> #module_1697632265582.cr-featuresbox-items-wrapper { /*max-width: 1760px;*/ margin-bottom: 40px; } #module_1697632265582 .cr-featuresbox-container { background: #fff; margin: 30px auto 20px; position: relative; padding: 30px 40px 30px 40px; box-shadow: 0px 8px 22px #0000001C; border: 1px solid #FFFFFF1C; overflow: hidden; transition: box-shadow 0.3s ease-in-out; } #module_1697632265582 .cr-featuresbox-headline { padding-right: 30px; } #module_1697632265582 .cr-featuresbox-headline h3 { font-size: 28px; font-weight: bold; letter-spacing: -0.64px; margin-top: 0; margin-bottom: 16px; } #module_1697632265582 .cr-featuresbox-icon img { max-width: 24px !important; position: absolute; /*right: 20px;*/ right: 10px; /*bottom: -24px;*/ top: 10px; opacity: .2; } #module_1697632265582 .cr-featuresbox-link { position: absolute; top: 0; right: 0; bottom: 0; left: 0; display: block; z-index: 9; display: flex; justify-content: space-between; align-items: center; } #module_1697632265582 .cr-featuresbox-link svg { max-width: 30px; height: auto; margin-right: 24px; position: absolute; right: 0px; z-index: -1; } #module_1697632265582 .cr-featuresbox-link a, #module_1697632265582 .cr-featuresbox-link a:visited { width: 100%; height: 100%; display: block; text-decoration: none; } #module_1697632265582 .cr-featuresbox-link a:hover, #module_1697632265582 .cr-featuresbox-link a:active { text-decoration: none; } #module_1697632265582 .cr-featuresbox-text { font-size: 16px; padding-right: 120px; } #module_1697632265582 .cr-featuresbox-readmore { text-align: right; margin-top: 40px; } #module_1697632265582 .cr-featuresbox-readmore svg { max-width: 22px; height: auto; margin-left: 5px; } #module_1697632265582 .cr-featuresbox-container p:last-child { margin-bottom: 0; } #module_1697632265582 .cr-featuresbox-readmore a { font-size: 18px; color: #19C0EA; text-decoration: none; font-weight: bold; display: flex; justify-content: flex-end; align-items: center; } @media all and (max-width: 767px) { #module_1697632265582 .cr-featuresbox-container { padding: 20px 30px 20px 30px; } #module_1697632265582 .cr-featuresbox-text { padding-right: 0px; } #module_1697632265582 .cr-featuresbox-link { align-items: flex-start; } #module_1697632265582 .cr-featuresbox-headline { padding-right: 0px; } #module_1697632265582 .cr-featuresbox-link svg { margin-top: 24px; } #module_1697632265582 .cr-featuresbox-headline h3 { font-size: 22px; padding-right: 30px; } } </style> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>E-commerce recommendations</h3> </div> <div class="cr-featuresbox-text"> Elevate e-commerce experiences by enabling semantic vector and full-text searches to deliver more relevant product recommendations. </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="" width="512" height="512" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Chatbots & customer support</h3> </div> <div class="cr-featuresbox-text"> <p>Enhance customer interactions by understanding questions with precision. Contextualize conversations, providing better service with improved understanding of user inquiries, regardless of the terms they use.</p> </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="" width="512" height="512" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Anomaly & fraud detection</h3> </div> <div class="cr-featuresbox-text"> Detect outliers effortlessly in various sectors, from finance to IoT and cybersecurity by normalizing and encoding user or machine behavior into vectors. </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="lazy" width="512" height="512" style="max-width: 100%; height: auto;" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Multimodal search</h3> </div> <div class="cr-featuresbox-text"> Extend your search capabilities beyond text to include images and videos. </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="lazy" width="512" height="512" style="max-width: 100%; height: auto;" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> <div class="cr-featuresbox-container "> <div class="cr-featuresbox-headline"> <h3>Generative AI</h3> </div> <div class="cr-featuresbox-text"> <p>Store embeddings, provide additional context in prompts and act as conversational memory for LLM-based applications. Use vector search functionality for retrieval augmented generation (RAG), which enables LLMs to understand specific data.</p> </div> <div class="cr-featuresbox-icon"> <img src="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png" alt="cr-quote-image" loading="lazy" width="512" height="512" style="max-width: 100%; height: auto;" srcset="https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=256&height=256&name=cr-quote-image.png 256w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=512&height=512&name=cr-quote-image.png 512w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=768&height=768&name=cr-quote-image.png 768w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1024&height=1024&name=cr-quote-image.png 1024w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1280&height=1280&name=cr-quote-image.png 1280w, https://cratedb.com/hs-fs/hubfs/cr-quote-image.png?width=1536&height=1536&name=cr-quote-image.png 1536w" sizes="(max-width: 512px) 100vw, 512px"> </div> </div> </div></div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-19 dnd-section dnd_area-row-9-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-20 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1690461611412" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> #widget_1690461611412 h2.cr-headline { font-size: 30px; letter-spacing: -1.7px; margin-right: 20px; margin-bottom: 40px; font-family: Montserrat, Inter, Arial, sans-serif !important; font-weight: 600; line-height: 1.3; } h3.cr-subheadline { font-style: normal; font-weight: 400; font-size: 20px; line-height: 1.3; color: #000; margin-top: 4px; margin-bottom: 0; } @media all and (max-width: 767px) { #widget_1690461611412 h2.cr-headline { font-size: 20px; margin-bottom: 20px; } h3.cr-subheadline { font-size: 18px; } } </style> <h2 id="widget_1690461611412" class="cr-headline" style="">Additional resources on vector data</h2> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-21 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-22 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_1699603146269" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> #module_1699603146269{ } #module_1699603146269 h1 { color: ; } </style> <div class="cr-relatedcontent" id="module_1699603146269"> <div class="content-wrapper"> <div class="cr-relatedcontent-cards"> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Blog</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="https://cratedb.com/blog/introduction-to-time-series-modeling-with-cratedb-machine-learning-time-series-data"> Machine Learning for Time Series Data - Introduction to Time Series Modeling with CrateDB</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_module_1699603146269_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Blog</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="https://cratedb.com/blog/unlocking-the-power-of-vector-support-and-knn-search-in-cratedb"> Unlocking the power of vector support and KNN search in CrateDB</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_module_1699603146269_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Blog</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="https://cratedb.com/blog/leverage-vector-search-to-use-embeddings-and-generative-ai-retrieval-augmented-generation-rag-with-cratedb"> Leverage Vector Search to Use Embeddings and Generative AI: Retrieval Augmented Generation (RAG) with CrateDB</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_module_1699603146269_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> </div> </div> </div></div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-23 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_1705393556455" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> #module_1705393556455{ } #module_1705393556455 h1 { color: ; } </style> <div class="cr-relatedcontent" id="module_1705393556455"> <div class="content-wrapper"> <div class="cr-relatedcontent-cards"> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Blog</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="https://cratedb.com/blog/how-to-overcome-business-challenges-when-building-ai-applications"> How to Overcome Business Challenges When Building AI Applications</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_module_1705393556455_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Blog</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="https://cratedb.com/blog/llm-vector-database-what-is-a-vector-databases-for-llm"> What is a Vector Database for LLM: Relation and Significance</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_module_1705393556455_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Blog</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="https://cratedb.com/blog/leverage-vector-search-to-use-embeddings-and-generative-ai-retrieval-augmented-generation-rag-with-cratedb"> Leverage Vector Search to Use Embeddings and Generative AI: Retrieval Augmented Generation (RAG) with CrateDB</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_module_1705393556455_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> </div> </div> </div></div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-24 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1690461496857" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> #widget_1690461496857{ } #widget_1690461496857 h1 { color: ; } </style> <div class="cr-relatedcontent" id="widget_1690461496857"> <div class="content-wrapper"> <div class="cr-relatedcontent-cards"> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Blog</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="https://cratedb.com/blog/vector-similarity-search"> Vector Similarity Search</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_widget_1690461496857_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Documentation</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="/docs/crate/reference/en/latest/general/ddl/data-types.html#float-vector" target="_blank" rel="noopener"> FLOAT_VECTOR data type</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_widget_1690461496857_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> <div class="cr-relatedcontent-slider-slide"> <div class="cr-relatedcontent-slider-tag"> <h3>Documentation</h3> </div> <div class="cr-relatedcontent-slider-headline"> <h3> <a href="/docs/crate/reference/en/lastest/general/builtins/scalar-functions.html#scalar-knn-match" target="_blank" rel="noopener"> KNN_MATCH function</a> </h3> <div class="cr-relatedcontent-slider-content"> <div id="hs_cos_wrapper_widget_1690461496857_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_inline_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="inline_rich_text" data-hs-cos-field="content"></div> </div> </div> </div> </div> </div> </div></div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-25 dnd-section dnd_area-row-10-background-layers dnd_area-row-10-background-color dnd_area-row-10-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-26 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17218096157786" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> #module_17218096157786 h2.cr-headline { font-size: 30px; letter-spacing: -1.7px; margin-right: 20px; margin-bottom: 40px; font-family: Montserrat, Inter, Arial, sans-serif !important; font-weight: 600; line-height: 1.3; } h3.cr-subheadline { font-style: normal; font-weight: 400; font-size: 20px; line-height: 1.3; color: #000; margin-top: 4px; margin-bottom: 0; } @media all and (max-width: 767px) { #module_17218096157786 h2.cr-headline { font-size: 20px; margin-bottom: 20px; } h3.cr-subheadline { font-size: 18px; } } </style> <h2 id="module_17218096157786" class="cr-headline" style="">FAQ</h2> </div> </div> </div> </div> <div class="row-fluid-wrapper row-depth-1 row-number-27 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17218096157787" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><div class="hs-accordion hs-accordion-regular cr-accordion " itemscope itemtype="https://schema.org/FAQPage"> <div class="hs-accordion__item " aria-expanded="" itemscope itemprop="mainEntity" itemtype="https://schema.org/Question"> <button type="button" itemprop="name"> What is a vector data format? <span class="hs-accordion__item-icon"></span> </button> <main role="region" itemscope itemprop="acceptedAnswer" itemtype="https://schema.org/Answer"> <div class="hs-accordion__item-content" itemprop="text"> <p>Vector data allows users to capture the complex details of points, lines, and polygons, unveiling a new dimension in data analysis, mapping, and spatial decision-making. Vector data can be stored in different file formats: Shapefile (.shp), GeoJSON (.geojson), KML (Keyhole Markup Language), and GML (Geography Markup Language). CrateDB leverages the power of vector data with a <a href="/product/features/speed-and-scalability" rel="noopener">highly scalable database</a> that can be queried <a href="/product/features/native-sql" rel="noopener">using SQL</a>, simplifying data management and reducing development time and overall costs.</p> </div> </main> </div> <div class="hs-accordion__item " aria-expanded="" itemscope itemprop="mainEntity" itemtype="https://schema.org/Question"> <button type="button" itemprop="name"> What are examples of vector data? <span class="hs-accordion__item-icon"></span> </button> <main role="region" itemscope itemprop="acceptedAnswer" itemtype="https://schema.org/Answer"> <div class="hs-accordion__item-content" itemprop="text"> <p>Vectors are numerical representations used to quantify and compare features or characteristics of data items, such as text, images, or sounds, in a high-dimensional space. For example, a vector can look like this: <code> -0.32643065</code>, <code>-0.12308089</code>, <code>-0.2873811</code>, representing a point in a multi-dimensional space. In CrateDB, vectors are stored as one-dimensional arrays of float values using the<a href="/docs/crate/reference/en/latest/general/ddl/data-types.html#float-vector" rel="noopener"> float_vector</a> data type, allowing for efficient storage and querying of dense vector data.</p> </div> </main> </div> <div class="hs-accordion__item " aria-expanded="" itemscope itemprop="mainEntity" itemtype="https://schema.org/Question"> <button type="button" itemprop="name"> Which database is best for vector data? <span class="hs-accordion__item-icon"></span> </button> <main role="region" itemscope itemprop="acceptedAnswer" itemtype="https://schema.org/Answer"> <div class="hs-accordion__item-content" itemprop="text"> <p>A vector database is designed to store and manage high-dimensional data, grouping vectors based on their similarities. These databases use advanced indexing and search algorithms to find the most similar vectors to a given query quickly. Examples of vector databases include CrateDB, Pinecone, Zilliz, and Weaviate. CrateDB excels as a vector store database with features like <a href="/blog/vector-similarity-search" rel="noopener">vector storage and similarity search</a>. If you want to learn more, read this blog post on <a href="/blog/the-best-vector-database-for-your-business" rel="noopener">how to choose the best database for vector data.</a></p> </div> </main> </div> <div class="hs-accordion__item " aria-expanded="" itemscope itemprop="mainEntity" itemtype="https://schema.org/Question"> <button type="button" itemprop="name"> What is the use of vector data? <span class="hs-accordion__item-icon"></span> </button> <main role="region" itemscope itemprop="acceptedAnswer" itemtype="https://schema.org/Answer"> <div class="hs-accordion__item-content" itemprop="text"> <p>Vector data is used in various applications, including e-commerce recommendations, chatbots and customer support, anomaly and fraud detection, multimodal searches, and generative AI. One of the key applications is similarity search, where algorithms like k-nearest neighbors (KNN) identify the most similar data points to a given query vector. This capability is crucial for recommendation systems, image retrieval, and anomaly detection. CrateDB enhances these applications by integrating vector storage and similarity search within a scalable database solution. <a href="/resources/videos/the-transformative-effects-of-real-time-ai" rel="noopener">Watch CrateDB’s keynote to learn more about vectors for real-time AI ></a></p> </div> </main> </div> <div class="hs-accordion__item " aria-expanded="" itemscope itemprop="mainEntity" itemtype="https://schema.org/Question"> <button type="button" itemprop="name"> What are typical distance metrics to compare vectors? <span class="hs-accordion__item-icon"></span> </button> <main role="region" itemscope itemprop="acceptedAnswer" itemtype="https://schema.org/Answer"> <div class="hs-accordion__item-content" itemprop="text"> <p>Typical distance metrics for comparing vectors include Euclidean distance, Cosine similarity, and Manhattan distance. 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