A side-by-side of two vector databases for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Milvus leads pgvector vs Milvus by community traction (★ 46k vs ★ 23k). Pick pgvector for RAG on existing Postgres; pick Milvus for billion-scale search.
✓ Live data verified
| pgvector | Milvus | |
|---|---|---|
| GitHub stars | ★ 23k | ★ 46k |
| Language | C | Go |
| Category | Vector databases | Vector databases |
| Best for | RAG on existing Postgres | billion-scale search |
| Repository | pgvector/pgvector | milvus-io/milvus |
pgvector and Milvus are both credible choices. By community traction, Milvus leads (★ 46k). Pick pgvector for RAG on existing Postgres; pick Milvus for billion-scale search.
Both are credible vector databases. By community traction Milvus leads (★ 46k). Pick pgvector for RAG on existing Postgres; pick Milvus for billion-scale search.
pgvector is Vector similarity search inside Postgres — keep embeddings next to your relational data.. Milvus is Cloud-native vector database built for billion-scale similarity search..
Milvus has more — ★ 46k vs ★ 23k (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; Milvus is primarily Go.
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