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Pinecone Serverless Index

Serverless vector and document index for semantic, lexical, and full-text search with automatic metadata filtering.

Field note

What it does

Pinecone serverless indexes store data as documents or records, supporting dense vectors, sparse vectors, and full-text search with BM25 in a single index.

Capabilities

Available capabilities

Dense vector semantic search Metadata filtering Hybrid Search Integrated embedding Namespace-based multitenancy Full-Text Search Sparse vector lexical search

Bring your own vectors

Pinecone Serverless Index

What it does

Available capabilities

Tags

Ways to use it

Product features

Bring your own vectors

Check metadata indexing

Create an index

Create an index for dense vectors

Create an index for full-text search

Create an index for sparse vectors

Create an index from a backup

Integrated embedding

Metadata indexing

Minimal: BM25 on a single text field

Multi-field schema: BM25 + dense vector

Set metadata indexing

What it does

Available capabilities

Tags

Ways to use it

Product features

​ Bring your own vectors

​ Check metadata indexing

Create an index

​ Create an index for dense vectors

​ Create an index for full-text search

​ Create an index for sparse vectors

​ Create an index from a backup

​ Integrated embedding

​ Metadata indexing

​ Minimal: BM25 on a single text field

​ Multi-field schema: BM25 + dense vector

​ Set metadata indexing

Bring your own vectors

Check metadata indexing

Create an index for dense vectors

Create an index for full-text search

Create an index for sparse vectors

Create an index from a backup

Integrated embedding

Metadata indexing

Minimal: BM25 on a single text field

Multi-field schema: BM25 + dense vector

Set metadata indexing