> This page is for version v1 API.
> 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.

# Qdrant and Cohere (Integration Guide)

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

![](/_fern-img/96873680a95b1b74e875f249aa5c6ce45e4634aacadd9366ae91869cf9ac31fb.webp)

[Qdrant](https://qdrant.tech/) is an open-source vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.

Qdrant is written in Rust, which makes it fast and reliable even under high load.

To learn more about how to work with Cohere's embeddings on Qdrant, [read this guide](https://qdrant.tech/documentation/embeddings/cohere/)