UNIT · ai-tools · standard · freshness 90d
Best Vector Database for AI Agents in 2026
pgvector, Pinecone, Weaviate, Qdrant, Chroma, and Milvus compared on operational footprint, latency at scale, hybrid search support, and total cost of ownership.
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TL;DR
- You already use Postgres:
pgvectorwithpgvectorscale. Boring, correct, scales to 100M+ vectors. - You want fully managed, fastest setup: Pinecone or Qdrant Cloud.
- You want hybrid (vector + keyword + filters) out of the box: Weaviate or Qdrant.
- Local prototypes: Chroma — single-file, no infra.
- Billions of vectors at strict latency: Milvus.
Comparison
| DB | Hosting | Hybrid search | Best for | Watch-out |
|---|---|---|---|---|
| pgvector + pgvectorscale | Self / managed Postgres | Yes (with FTS) | Postgres-shop, < 100M vectors | HNSW index build is memory-hungry |
| Pinecone | Managed only | Yes (sparse + dense) | Teams that don't want to operate infra | Costs scale with index size |
| Weaviate | Self / managed | Strong native hybrid | Hybrid search and module ecosystem | Heavier ops than Qdrant |
| Qdrant | … |
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