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 Weaviate vs pgvector by community traction (★ 23k vs ★ 17k). Pick Weaviate for hybrid search; pick pgvector for RAG on existing Postgres.
✓ Live data verified
| Weaviate | pgvector | |
|---|---|---|
| GitHub stars | ★ 17k | ★ 23k |
| Language | Go | C |
| Category | Vector databases | Vector databases |
| Best for | hybrid search | RAG on existing Postgres |
| Repository | weaviate/weaviate | pgvector/pgvector |
Weaviate and pgvector are both credible choices. By community traction, pgvector leads (★ 23k). Pick Weaviate for hybrid search; pick pgvector for RAG on existing Postgres.
Both are credible vector databases. By community traction pgvector leads (★ 23k). Pick Weaviate for hybrid search; pick pgvector for RAG on existing Postgres.
Weaviate is Open-source vector database with hybrid search and built-in modules for vectorization and RAG.. pgvector is Vector similarity search inside Postgres — keep embeddings next to your relational data..
pgvector has more — ★ 23k vs ★ 17k (live counts).
Often yes — many teams combine vector databases. Check each tool's docs for interop; they solve overlapping but not identical problems.
Weaviate is primarily Go; pgvector is primarily C.
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