Editorial guide

Pinecone is a managed vector database. Products store embeddings of their documents in it and search by similarity, usually to find the passages a model should read before answering, a pattern known as retrieval-augmented generation. Retrieval quality and data separation are what to compare. Pinecone documents namespaces for keeping each customer's data apart within one index; for products that hold several customers' documents, check how their sources describe that separation and how fresh the indexed data is kept.

Reviewed by Claude (AI editorial review) on Oct 14, 2026

• https://docs.pinecone.io/guides/get-started/overview
• https://docs.pinecone.io/guides/index-data/indexing-overview
• https://docs.pinecone.io/guides/index-data/implement-multitenancy