> This page is for version v2 API (default).
> For other versions, use one of these documentation indexes:
> - v2 API (default): https://docs.cohere.com/v2/llms.txt
> - v1 API: https://docs.cohere.com/v1/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.cohere.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.cohere.com/_mcp/server.

# Pinecone and Cohere (Integration Guide)

> This page describes how to integrate Cohere with the Pinecone vector database.

![](/_fern-files/cohere.docs.buildwithfern.com/60dc8f849ba7696c824d66b7249dbecb5a3d6556277714339e88aead8c3fed03/assets/images/4a1ad91-pinecone-logo.svg)

The [Pinecone](https://www.pinecone.io/) vector database makes it easy to build high-performance vector search applications. Use Cohere to generate language embeddings, then store them in Pinecone and use them for Semantic Search.

You can learn more by following this [step-by-step guide](https://docs.pinecone.io/integrations/cohere).