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 Milvus vs pgvector by community traction (★ 46k vs ★ 23k). Pick Milvus for billion-scale search; pick pgvector for RAG on existing Postgres.
✓ Live data verified
| Milvus | pgvector | |
|---|---|---|
| GitHub stars | ★ 46k | ★ 23k |
| Language | Go | C |
| Category | Vector databases | Vector databases |
| Best for | billion-scale search | RAG on existing Postgres |
| Repository | milvus-io/milvus | pgvector/pgvector |
Milvus and pgvector are both credible choices. By community traction, Milvus leads (★ 46k). Pick Milvus for billion-scale search; pick pgvector for RAG on existing Postgres.
Both are credible vector databases. By community traction Milvus leads (★ 46k). Pick Milvus for billion-scale search; pick pgvector for RAG on existing Postgres.
Milvus is Cloud-native vector database built for billion-scale similarity search.. pgvector is Vector similarity search inside Postgres — keep embeddings next to your relational data..
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.
Milvus is primarily Go; pgvector is primarily C.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.