Best

Best Vector Databases to Use with LangChain

Your choice of vector database significantly impacts your RAG application's performance, cost, and scalability.

Quick Answer

For prototyping, use Chroma (runs locally, zero config). For production, Pinecone (managed, scalable) or Qdrant (open-source, performant) are top choices. Weaviate is great if you need hybrid search.

Evaluation Criteria

We compared databases on: ease of setup, query performance, scalability, pricing, LangChain integration quality, and community support.

Top Picks by Use Case

Chroma for local development. Pinecone for managed production. Qdrant for self-hosted production. Weaviate for hybrid search. pgvector if you already use PostgreSQL.

Use Cases

  • Choosing a vector DB for a new LangChain project
  • Migrating from local development to production infrastructure
  • Evaluating cost vs performance tradeoffs

When Not to Use

  • You don't need semantic search at all
  • Your dataset is small enough for brute-force similarity
  • You need a traditional relational database instead

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