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Pinecone

Managed vector database for RAG.

What is Pinecone?

The original managed vector database. Production-grade RAG infrastructure with serverless and pod-based offerings.

Key Features

  • Fully managed — no clusters to operate
  • Serverless and pod-based offerings
  • Metadata filtering with subsecond latency at scale
  • Hybrid search (dense + sparse vectors)
  • Namespaces for multi-tenancy
  • First-class integrations with LangChain, LlamaIndex, Haystack

FAQ

Pinecone vs Weaviate vs Qdrant? +

Pinecone is the easiest production path — fully managed, predictable performance, zero ops. Weaviate has the best built-in modules (auto-embedding, generative search). Qdrant is the fastest self-hosted option (Rust core). For most early-stage projects, Pinecone's Serverless tier wins on time-to-RAG.

How do I size my Pinecone index? +

Serverless scales by usage — no sizing decision required. For pod-based, start with one s1.x1 pod per ~1M vectors at 1536 dimensions, then monitor query latency and scale up the pod tier (not count) before sharding.

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