Managing Namespaces
Understand how to segment your data within a single Pinecone index using namespaces for better organization.
What are Pinecone Namespaces?
Welcome to managing namespaces in Pinecone! A namespace is like a logical partition within a single Pinecone index.
Think of it as a folder inside a main directory. It allows you to segment your data without needing to create entirely separate indexes.
Why Use Namespaces?
Namespaces are incredibly useful for organizing your vector data, especially in complex applications:
- Multi-tenancy: Isolate data for different users or customers within one index.
- A/B Testing: Store different versions of embeddings for experiments.
- Data Isolation: Keep distinct datasets separate while leveraging the same index infrastructure.
- Categorization: Group vectors by topic, source, or type.