Pinecone

Pinecone is the managed vector database that made retrieval-augmented generation approachable. You send it embeddings, it handles indexing, sharding, replication, and low-latency search across billions of vectors.

What it handles for you

• Serverless indexes that scale storage and compute independently, so you pay for what you use rather than for provisioned capacity
• Metadata filtering combined with vector search, so "similar documents, from this customer, written this year" is one query
• Hybrid search blending dense and sparse retrieval, which consistently beats either alone on real corpora
• Reranking as a managed step to improve the final ordering
• Integrated inference, generating embeddings on ingest so you do not run a separate embedding service
• Namespaces for multi-tenant isolation within one index

Why teams choose managed

Self-hosting a vector store is easy at prototype scale and considerably less so at production scale with high write throughput and strict latency targets. Pinecone removes that operational burden entirely.

A free tier supports real prototyping; paid plans are usage-based on storage and reads/writes, with enterprise options including private networking and compliance certifications.