{"id":"pg_nok5bc1vpx33","property_id":"prp_-ukk265czwbd","domain_id":"dom_vqj7b-nyig_h","root_domain":"supabase.com","locale":"en","url":"https://supabase.com/modules/vector","url_hash":"cb6f8371454678eabd12ca508cc6c7c3a793abeff775e187a3a155a68f072d7d","path":"/modules/vector","depth":1,"canonical_url":null,"canonical_page_id":null,"page_type":"other","page_type_guess":"other","state":"indexed","skip_reason":null,"priority":"0.9","discovered_via":"sitemap","first_seen_at":"2026-08-27T09:07:11.699Z","last_seen_at":"2026-08-27T09:08:01.533Z","http_status":200,"content_hash":"21c890642b01d62d742ad4f0efba305ccec63cecfa36deb43e95eaf65acce98a","title":"Supabase Vector | The Postgres Vector database and AI Toolkit","description":"An open source Vector database for developing AI applications. Use pgvector to store, index, and access embeddings, and our AI toolkit to build AI applications with Hugging Face and OpenAI.","author":null,"published_at":null,"modified_at":null,"word_count":419,"reading_time_sec":114,"lang_detected":"en","images":[],"links_out":null,"markdown_source":"readability","refresh_interval":"monthly","last_fetched_at":"2026-08-27T09:07:39.325Z","next_refresh_at":"2026-09-26T09:07:39.325Z","runs_count":1,"changes_count":0,"last_changed_at":null,"fail_count":0,"last_error":null,"created_at":"2026-08-27T09:07:11.699Z","updated_at":"2026-08-27T09:07:11.699Z","inlinks":6,"inlinks_body":1,"outlinks":66,"outlinks_external":9,"anchor_terms":["Vector","VectorIntegrate your favorite ML-models to store, index and search vector embeddings.OpenAI logoOpenAIHugging Face logoH"],"template_score":"0.60000000000000000000","cash":"0.026203864234909993","cash_total":"0.547140344756883886","pagerank":null,"is_orphan":false,"link_confirmed":true,"discovered_wave":0,"embedded_hash":"21c890642b01d62d742ad4f0efba305ccec63cecfa36deb43e95eaf65acce98a","embedded_at":"2026-08-27T09:14:00.707Z","domain_name":"Supabase","brand_color":"#9de6c5","domain_rank":473,"spam_score":11,"markdown":"-   [\n    \n    Pricing\n    \n    \n    \n    ](https://supabase.com/pricing)\n-   [\n    \n    Docs\n    \n    \n    \n    ](https://supabase.com/docs)\n-   [\n    \n    Blog\n    \n    \n    \n    ](https://supabase.com/blog)\n\nSupabase Vector\n\nAn open source Vector database for developing AI applications.  \nUse pgvector to store, index, and access embeddings, and our AI toolkit to build AI applications with Hugging Face and OpenAI.\n\n### Postgres + pgvector\n\nUse pgvector to store, query, and index your vector embeddings at scale in a Postgres instance.\n\n![OpenAi logo](https://supabase.com/_next/image?url=%2Fimages%2Fproduct%2Fvector%2Fopenai-logo-light.png&w=3840&q=75)\n\n### OpenAI and More\n\nEasily connect to any LLM or embeddings API, including Hugging Face, SageMaker and more.\n\n### Secure and Scalable\n\nSupabase is SOC2 Type 2 compliant, and comes with an advanced permissions system.\n\n### Deploy Globally\n\nChoose from many globally-distributed data centres or self-host on your own cloud.\n\n## Leverage the tools you love\n\n![Diagram of Machine Learning tools that integrate with Supabase Vector](https://supabase.com/_next/image?url=%2Fimages%2Fproduct%2Fvector%2Fvector-tools-light.png&w=3840&q=100)\n\n## Simple yet  \npowerful APIs\n\nEasy-to-use client libraries for managing and querying vector stores in Postgres.\n\n[Explore documentation](https://supabase.com/docs/guides/ai/vecs-python-client)\n\nEfficiently upsert millions of vectors with important metadata.\n\n## What you can build  \nwith Supabase Vector?\n\nScale effortlessly from experimentation to production-ready AI applications.\n\n#### Semantic Search\n\nSearch your own knowledge base by semantic similarity.\n\n[View example](https://supabase.com/docs/guides/ai/examples/headless-vector-search)\n\n#### ChatGPT Plugins\n\nEnhance chatbot memory with content-based long-term retention.\n\n[View example](https://supabase.com/docs/guides/ai/examples/building-chatgpt-plugins)\n\n#### OpenAI completions\n\nGenerate GPT text completions using OpenAI in Edge Functions.\n\n[View example](https://supabase.com/docs/guides/ai/examples/openai)\n\n#### Image Similarity\n\nTransform images into image vector representations to detect similarity patterns.\n\n[Open in Colab](https://colab.research.google.com/github/supabase/supabase/blob/master/examples/ai/face_similarity.ipynb)\n\n#### Data Management\n\nAutomatically tag, deduplicate or detect patterns in your vector store.\n\n[Open in Colab](https://colab.research.google.com/github/supabase/supabase/blob/master/examples/ai/semantic_text_deduplication.ipynb)\n\n#### Next.js Vector Search\n\nLearn how to build ChatGPT-style doc search powered by Next.js and OpenAI.\n\n[View example](https://supabase.com/docs/guides/ai/examples/nextjs-vector-search)\n\n## Powerful Features  \nScale to millions\n\nDevelop, integrate, and deploy secure and enterprise-grade AI applications at unprecedented speed.\n\n[Explore documentation](https://supabase.com/docs/guides/ai)\n\n## Fully managed or Self-Hosted\n\nStart with our hassle-free cloud platform, or self-host to keep everything within your infrastructure. You choose.\n\n## Global & Multi-Region\n\nAutomatically provision and configure a fleet of applications across multiple regions to reduce read latency.\n\n## Integrated\n\nStore vector embeddings in the same database as your transactional data, simplifying your applications and improving performance.\n\n## No Vendor Lock-In\n\nSupabase uses open source tools to increase portability and avoid lock-in, making it easy to migrate in and out.\n\n## Automatic Backups\n\nProtect your data using automatic backups with Point In Time Recovery to ensure it's always safe and recoverable.\n\n## Highly Scalable\n\nDesigned for unparalleled high performance and availability at global scale.\n\n## Supabase Vector for Enterprise\n\nTalk to one of our experts about scaling Supabase Vector  \nand managing embeddings at scale.","storage":{"htmlKey":"stealpage/html/supabase.com/pg_nok5bc1vpx33/run_dsv0r-j32zah.html.gz","markdownKey":"stealpage/md/supabase.com/pg_nok5bc1vpx33/run_dsv0r-j32zah.md.gz"},"facets":{"page_id":"pg_nok5bc1vpx33","domain_id":"dom_vqj7b-nyig_h","root_domain":"supabase.com","locale":"en","format":"research","depth":2,"technicality":4,"promotional":3,"originality":2,"audience":"developer","funnel_stage":"consideration","intent":"informational","evidence":"anecdote","tone":"conversational","has_code":false,"code_langs":[],"has_data":false,"has_tables":false,"has_images":false,"has_video":false,"has_faq":false,"external_links":13,"heading_count":21,"topics":["ai","vector databases","postgres"],"keywords":["vector database","pgvector","openai","hugging face","supabase"],"entities":{},"takeaways":["Supabase Vector is positioned as an open source vector database that integrates with Postgres, allowing developers to store and query vector embeddings at scale.","The page highlights integration with major AI platforms like OpenAI and Hugging Face, suggesting it's designed for developers building AI applications.","It emphasizes security, scalability, and flexibility, offering both cloud and self-hosted deployment options for different use cases.","The content includes links to documentation and examples, indicating it's intended to guide developers through implementation and use cases.","While it mentions features like semantic search and chatbot plugins, it doesn't provide in-depth technical details or research findings."],"summary":"The page presents Supabase Vector as a vector database and AI toolkit built on Postgres, designed to help developers build AI applications with features like semantic search and chatbot memory.","ai_likelihood":"0.141","shelf_life":"evergreen","quality_score":"0.4383","fingerprint":"21c890642b01d62d742ad4f0efba305ccec63cecfa36deb43e95eaf65acce98a","model":"qwen/qwen3-30b-a3b","classified_at":"2026-08-27T09:11:28.665Z","created_at":"2026-08-27T09:11:28.665Z","updated_at":"2026-08-27T09:11:28.665Z"},"assets":[{"kind":"image","src_url":"https://supabase.com/images/modules/vector/og.png","r2_key":null,"alt":null,"caption":null,"width":null,"height":null,"is_hero":true,"zone":"main"},{"kind":"image","src_url":"https://supabase.com/_next/image?q=75&url=%2Fimages%2Fproduct%2Fvector%2Fopenai-logo-light.png&w=3840","r2_key":null,"alt":"OpenAi logo","caption":null,"width":null,"height":null,"is_hero":false,"zone":"main"},{"kind":"image","src_url":"https://supabase.com/_next/image?q=100&url=%2Fimages%2Fproduct%2Fvector%2Fvector-tools-light.png&w=3840","r2_key":null,"alt":"Diagram of Machine Learning tools that integrate with Supabase Vector","caption":null,"width":null,"height":null,"is_hero":false,"zone":"main"},{"kind":"image","src_url":"https://supabase.com/images/logos/google-colaboratory.svg","r2_key":null,"alt":"Google Colaboratory logo","caption":null,"width":30,"height":30,"is_hero":false,"zone":"main"},{"kind":"image","src_url":"https://supabase.com/_next/image?q=75&url=%2Fimages%2Fcustomers%2Flogos%2Fon-light%2Fmozilla.png&w=3840","r2_key":null,"alt":"Supabase + mozilla","caption":null,"width":null,"height":null,"is_hero":false,"zone":"main"},{"kind":"image","src_url":"https://supabase.com/_next/image?q=75&url=%2Fimages%2Fcustomers%2Flogos%2Fon-light%2Fquivr.png&w=3840","r2_key":null,"alt":"Supabase + quivr","caption":null,"width":null,"height":null,"is_hero":false,"zone":"main"},{"kind":"image","src_url":"https://supabase.com/_next/image?q=75&url=%2Fimages%2Fcustomers%2Flogos%2Fon-light%2Ffirecrawl.png&w=3840","r2_key":null,"alt":"Supabase + firecrawl","caption":null,"width":null,"height":null,"is_hero":false,"zone":"main"}],"shots":[],"history":[{"id":"run_dsv0r-j32zah","started_at":"2026-08-27T09:07:39.253Z","http_status":200,"fetcher":"direct","changed":false,"diff":null,"word_count":419}],"citedBy":[{"id":"pg_eyuinj5vpsvi","url":"https://supabase.com/","title":"Supabase | The Postgres Development Platform","anchors":["VectorIntegrate your favorite ML-models to store, index and search vector embeddings.OpenAI logoOpenAIHugging Face logoH","Vector"],"zone":"main"}]}