Pgvector
Vector database for storing embeddings and performing high-speed similarity searches.
The default vector-search choice if you already use Postgres; it removes a whole piece of infrastructure for most RAG workloads.
An open-source PostgreSQL extension that adds a vector type and similarity search - turning the Postgres you already run into a vector database.
It is the pragmatic choice for vector search: keep embeddings beside your relational data, with one connection string, one backup strategy, and SQL joins/filters/transactions instead of a separate vector DB. The trade-off is that it is an extension, not a managed service - you generate embeddings elsewhere and tune indexes yourself - and at extreme scale dedicated vector databases can pull ahead.
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Alternatives
Pinecone or Qdrant - managed, vector-first databases for elastic scale and SLAs.
An in-memory library like FAISS - simple for small, local similarity search without a database.
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