MemotivaRAG & Vector DB Interview: Pinecone Pods, Serverless, Namespaces, Metadata Filters

What is a Pinecone namespace and when should you use it?

RAG & Vector DB Interview: Pinecone Pods, Serverless, Namespaces, Metadata Filters

Audio flashcard · 0:28

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What is a Pinecone namespace and when should you use it?

0:28

A namespace is a logical partition within a Pinecone index, letting you isolate vectors by user, tenant, document set, or language without creating separate indexes. Queries are scoped to a single namespace, which improves performance because the search only considers vectors in that namespace. Use namespaces for multi-tenant applications, per-user personal data, or A/B testing different embedding models. Namespaces are free to create, and a single index can hold thousands of them with no pre-declaration required.
docs.pinecone.io