A side-by-side of two vector databases for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: pgvector leads pgvector vs LanceDB by community traction (★ 23k vs ★ 11k). Pick pgvector for RAG on existing Postgres; pick LanceDB for embedded vector search.
✓ Live data verified
| pgvector | LanceDB | |
|---|---|---|
| GitHub stars | ★ 23k | ★ 11k |
| Language | C | Rust |
| Category | Vector databases | Vector databases |
| Best for | RAG on existing Postgres | embedded vector search |
| Repository | pgvector/pgvector | lancedb/lancedb |
pgvector and LanceDB are both credible choices. By community traction, pgvector leads (★ 23k). Pick pgvector for RAG on existing Postgres; pick LanceDB for embedded vector search.
Both are credible vector databases. By community traction pgvector leads (★ 23k). Pick pgvector for RAG on existing Postgres; pick LanceDB for embedded vector search.
pgvector is Vector similarity search inside Postgres — keep embeddings next to your relational data.. LanceDB is Embedded, in-process vector database on the columnar Lance format — versioned, updatable, larger-than-RAM retrieval with no server..
pgvector has more — ★ 23k vs ★ 11k (live counts).
Often yes — many teams combine vector databases. Check each tool's docs for interop; they solve overlapping but not identical problems.
pgvector is primarily C; LanceDB is primarily Rust.
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