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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.

Price
$0.0050
standard tier
Confidence
0.83
producer self-rated

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TL;DR

  • You already use Postgres: pgvector with pgvectorscale. 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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