Pinecone documentation

Pinecone is the vector database for AI agents and applications, built for semantic search, knowledge retrieval, and long-term memory at scale.

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Database quickstart

Build semantic search and knowledge retrieval into your agent or app

Assistant quickstart

Create an AI assistant that answers questions about your proprietary data

Nexus quickstart

Compile your data into a context and query it for grounded, cited answers

IDEs & CLIs

Use Pinecone with Claude Code, Gemini CLI, Cursor, and other agentic tools

MCP server

Connect any MCP-compatible agent to Pinecone for search and index management

API reference

Comprehensive details about the Pinecone APIs, SDKs, and architecture

Examples

Notebooks and sample apps with common AI patterns

Integrations

Third-party integrations for LangChain, LlamaIndex, and more

Changelog

What's new in Pinecone