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Documentation Index

Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt

Use this file to discover all available pages before exploring further.

Database quickstart

Set up a fully managed vector database for high-performance semantic search

Assistant quickstart

Create an AI assistant that answers complex questions about your proprietary data

Marketplace quickstart

Publish a no-code knowledge application from a vertical template (public preview)

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Workflows

Use integrated embedding to upsert and search with text and have Pinecone generate vectors automatically.
1

Create an index

Create an index that matches your retrieval needs: an index with a document schema for full-text search on FTS-enabled string fields (BM25 ranking, with dense_vector and sparse_vector fields available in the same schema); an index with dense vectors integrated with a hosted embedding model for semantic search; or an index with sparse vectors for sparse-vector lexical search with a custom encoder.
2

Prepare data

Prepare your data for efficient ingestion, retrieval, and management in Pinecone.
3

Upsert text

Upsert your source text and have Pinecone convert the text to vectors automatically. For full-text search, upsert typed documents and Pinecone indexes each field according to the schema. Use namespaces to partition data for faster queries and multitenant isolation between customers.
4

Search with text

Search the index with a query text. Again, Pinecone uses the index’s integrated model to convert the text to a vector automatically.
5

Improve relevance

Filter by metadata to limit the scope of your search, rerank results to increase search accuracy, or use full-text search for precise keyword and phrase matching alongside semantic ranking on the same index.

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Start building

IDEs & CLIs

Use Pinecone with agentic IDEs and CLIs like Claude Code, Gemini CLI, and Cursor.

CLI

Command-line tool for managing Pinecone infrastructure and data.

API Reference

Comprehensive details about the Pinecone APIs, SDKs, utilities, and architecture.

Integrated Inference

Simplify vector search with integrated embedding and reranking.

Examples

Hands-on notebooks and sample apps with common AI patterns and tools.

Integrations

Pinecone’s growing number of third-party integrations.

Troubleshooting

Resolve common Pinecone issues with our troubleshooting guide.

Releases

News about features and changes in Pinecone and related tools.