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

What is a Pinecone index and what limits does it have?

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

Audio flashcard · 0:30

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What is a Pinecone index and what limits does it have?

0:30

A Pinecone index is the top-level data structure that holds vectors, their metadata, and the ANN structure for search. Each index has a fixed dimension, metric, and deployment type (serverless or pod) set at creation. Serverless indexes scale to billions of vectors and thousands of namespaces per index, with individual record metadata limited to 40 kilobytes. Per-project and per-organization quotas apply depending on plan. Starter tier allows a limited number of indexes, while paid tiers allow many more and support higher throughput.
docs.pinecone.io