ModelRefs / Namespace (Vector DB) — AI Glossary
Namespace (Vector DB) — AI Glossary
A logical partition within a vector database index isolating subsets of vectors for separate search, enabling multi-tenancy.
Overview
Namespaces (Pinecone term; called 'collections' in Chroma, 'tenants' in Weaviate) allow multiple independent vector subsets in one index. Common uses: per-user isolation in multi-tenant apps, per-document-set isolation for different knowledge bases, A/B testing different embedding models side by side.
Reference details
| Topic | rag |
|---|---|
| Also known as | vector partition, collection, tenant |
| Last reviewed | 2026-06-24 |
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Frequently asked questions
What is Namespace (Vector DB)?
A logical partition within a vector database index isolating subsets of vectors for separate search, enabling multi-tenancy.
Is Namespace (Vector DB) the same as vector partition?
Yes — vector partition, collection, tenant are common aliases for Namespace (Vector DB).
What concepts are related to Namespace (Vector DB)?
Closely related concepts include metadata filtering, ann, dense retrieval.