> 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.

# Integrating Embedding Models with Other Tools

> Learn how to integrate Cohere embeddings with open-source vector search engines for enhanced applications.

Cohere supports integrations with a variety of powerful external platforms, which are covered in this section. Find links to specific guides below:

1. [Elasticsearch and Cohere](/docs/elasticsearch-and-cohere)
2. [MongoDB and Cohere](/docs/mongodb-and-cohere)
3. [Redis and Cohere](/docs/redis-and-cohere)
4. [Haystack and Cohere](/docs/haystack-and-cohere)
5. [Open Search and Cohere](/docs/opensearch-and-cohere)
6. [Vespa and Cohere](/docs/vespa-and-cohere)
7. [Chroma and Cohere](/docs/chroma-and-cohere)
8. [Qdrant and Cohere](/docs/qdrant-and-cohere)
9. [Weaviate and Cohere](/docs/weaviate-and-cohere)
10. [Pinecone and Cohere](/docs/pinecone-and-cohere)
11. [Milvus and Cohere](/docs/milvus-and-cohere)