# Milvus and Cohere (Integration Guide)

<img src="../img/fern/assets/images/92a8592-milvus-logo.png" alt="">

[Milvus](https://milvus.io/) is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus is a graduated-stage project of the LF AI & Data Foundation.

The following [guide](https://milvus.io/docs/integrate_with_cohere.md) walks through how to integrate [Cohere embeddings](/guides/embeddings-vectors-search-retrieval-v2-text-embeddings-embeddings) with Milvus.

## Related pages

- [Elasticsearch and Cohere (Integration Guide)](./integrations-elasticsearch-and-cohere.md)
- [MongoDB and Cohere (Integration Guide)](./integrations-mongodb-and-cohere.md)
- [Redis and Cohere (Integration Guide)](./integrations-redis-and-cohere.md)
- [Haystack and Cohere (Integration Guide)](./integrations-haystack-and-cohere.md)
- [Pinecone and Cohere (Integration Guide)](./integrations-pinecone-and-cohere.md)
- [Weaviate and Cohere (Integration Guide)](./integrations-weaviate-and-cohere.md)
- [Open Search and Cohere (Integration Guide)](./integrations-opensearch-and-cohere.md)
- [Vespa and Cohere (Integration Guide)](./integrations-vespa-and-cohere.md)
- [Qdrant and Cohere (Integration Guide)](./integrations-qdrant-and-cohere.md)
- [Zilliz and Cohere (Integration Guide)](./integrations-zilliz-and-cohere.md)

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