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 Weaviate by community traction (★ 23k vs ★ 17k). Pick pgvector for RAG on existing Postgres; pick Weaviate for hybrid search.
✓ Live data verified
| pgvector | Weaviate | |
|---|---|---|
| GitHub stars | ★ 23k | ★ 17k |
| Language | C | Go |
| Category | Vector databases | Vector databases |
| Best for | RAG on existing Postgres | hybrid search |
| Repository | pgvector/pgvector | weaviate/weaviate |
pgvector and Weaviate are both credible choices. By community traction, pgvector leads (★ 23k). Pick pgvector for RAG on existing Postgres; pick Weaviate for hybrid search.
Both are credible vector databases. By community traction pgvector leads (★ 23k). Pick pgvector for RAG on existing Postgres; pick Weaviate for hybrid search.
pgvector is Vector similarity search inside Postgres — keep embeddings next to your relational data.. Weaviate is Open-source vector database with hybrid search and built-in modules for vectorization and RAG..
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.
pgvector is primarily C; Weaviate is primarily Go.
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