Pinecone and Indexes

Pinecone is a powerful vector database that allows you to manage and query high-dimensional vectors efficiently.

Understanding Indexes in Pinecone

An index is the highest-level organizational unit of vector data in Pinecone. It accepts and stores vectors, serves queries over the vectors it contains, and performs other vector operations. Pinecone offers two types of indexes:

Serverless Indexes:

These indexes automatically scale based on usage, and you pay only for the data stored and operations performed.

No need to configure or manage compute or storage resources.

Available for organizations on the Standard and Enterprise plans.

Choose the cloud and region where you want the index to be hosted.

Pod-based Indexes:

You choose pre-configured hardware units (pods) based on your storage and latency requirements.

Ideal for applications with specific latency needs.

Available pod types: s1 (storage-optimized), p1 (performance-optimized), and p2 (higher throughput).

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