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 sqlite-vec vs pgvector by community traction (★ 23k vs ★ 8.0k). Pick sqlite-vec for vectors inside SQLite; pick pgvector for RAG on existing Postgres.
✓ Live data verified
| sqlite-vec | pgvector | |
|---|---|---|
| GitHub stars | ★ 8.0k | ★ 23k |
| Language | C | C |
| Category | Vector databases | Vector databases |
| Best for | vectors inside SQLite | RAG on existing Postgres |
| Repository | asg017/sqlite-vec | pgvector/pgvector |
sqlite-vec and pgvector are both credible choices. By community traction, pgvector leads (★ 23k). Pick sqlite-vec for vectors inside SQLite; pick pgvector for RAG on existing Postgres.
Both are credible vector databases. By community traction pgvector leads (★ 23k). Pick sqlite-vec for vectors inside SQLite; pick pgvector for RAG on existing Postgres.
sqlite-vec is A single-file SQLite extension for vector search — exact brute-force KNN that lives inside the database you already ship.. pgvector is Vector similarity search inside Postgres — keep embeddings next to your relational data..
pgvector has more — ★ 23k vs ★ 8.0k (live counts).
Often yes — many teams combine vector databases. Check each tool's docs for interop; they solve overlapping but not identical problems.
sqlite-vec is primarily C; pgvector is primarily C.
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