> 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.

# Zilliz and Cohere (Integration Guide)

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

![](/_fern-img/9abbbdc195970652dfed49656a6dab642f4ae1057e1c7cd1ee1c8eccff315b04.webp)

[Zilliz Cloud](https://zilliz.com/cloud) is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud provides a fully-managed Milvus service, made by the creators of Milvus that allows for easy integration with vectorizers from Cohere and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

The following [guide](https://docs.zilliz.com/docs/question-answering-using-zilliz-cloud-and-cohere) walks through how to integrate [Cohere embeddings](/docs/embeddings) with Zilliz. You might also find this [quickstart guide](https://docs.zilliz.com/docs/quick-start) helpful.