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33 lines
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33 lines
2.1 KiB
Markdown
# Supabase Vector Database
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[Supabase](https://supabase.com/docs) is an open-source Firebase alternative built on top of [Postgres](https://en.wikipedia.org/wiki/PostgreSQL), a production-grade SQL database.
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[Supabase Vector](https://supabase.com/docs/guides/ai) is a vector toolkit built on [pgvector](https://github.com/pgvector/pgvector), a Postgres extension that allows you to store your embeddings inside the same database that holds the rest of your application data. When combined with pgvector's indexing algorithms, vector search remains [fast at large scales](https://supabase.com/blog/increase-performance-pgvector-hnsw).
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Supabase adds an ecosystem of services and tools on top of Postgres that makes app development as quick as possible, including:
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- [Auto-generated REST APIs](https://supabase.com/docs/guides/api)
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- [Auto-generated GraphQL APIs](https://supabase.com/docs/guides/graphql)
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- [Realtime APIs](https://supabase.com/docs/guides/realtime)
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- [Authentication](https://supabase.com/docs/guides/auth)
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- [File storage](https://supabase.com/docs/guides/storage)
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- [Edge functions](https://supabase.com/docs/guides/functions)
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We can use these services alongside pgvector to store and query embeddings within Postgres.
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## OpenAI Cookbook Examples
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Below are guides and resources that walk you through how to use OpenAI embedding models with Supabase Vector.
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| Guide | Description |
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| ---------------------------------------- | ---------------------------------------------------------- |
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| [Semantic search](./semantic-search.mdx) | Store, index, and query embeddings at scale using pgvector |
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## Additional resources
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- [Vector columns](https://supabase.com/docs/guides/ai/vector-columns)
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- [Vector indexes](https://supabase.com/docs/guides/ai/vector-indexes)
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- [RAG with permissions](https://supabase.com/docs/guides/ai/rag-with-permissions)
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- [Going to production](https://supabase.com/docs/guides/ai/going-to-prod)
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- [Deciding on compute](https://supabase.com/docs/guides/ai/choosing-compute-addon)
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