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 LanceDB vs pgvector by community traction (★ 23k vs ★ 11k). Pick LanceDB for embedded vector search; pick pgvector for RAG on existing Postgres.
✓ Live data verified
| LanceDB | pgvector | |
|---|---|---|
| GitHub stars | ★ 11k | ★ 23k |
| Language | Rust | C |
| Category | Vector databases | Vector databases |
| Best for | embedded vector search | RAG on existing Postgres |
| Repository | lancedb/lancedb | pgvector/pgvector |
LanceDB and pgvector are both credible choices. By community traction, pgvector leads (★ 23k). Pick LanceDB for embedded vector search; pick pgvector for RAG on existing Postgres.
Both are credible vector databases. By community traction pgvector leads (★ 23k). Pick LanceDB for embedded vector search; pick pgvector for RAG on existing Postgres.
LanceDB is Embedded, in-process vector database on the columnar Lance format — versioned, updatable, larger-than-RAM retrieval with no server.. pgvector is Vector similarity search inside Postgres — keep embeddings next to your relational data..
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.
LanceDB is primarily Rust; pgvector is primarily C.
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