# Zilliz and Cohere (Integration Guide)

<img src="../img/fern/assets/images/3cb9160-zilliz-logo.png" alt="">

[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](/guides/embeddings-vectors-search-retrieval-v2-text-embeddings-embeddings) with Zilliz. You might also find this [quickstart guide](https://docs.zilliz.com/docs/quick-start) helpful.

## 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)
- [Milvus and Cohere (Integration Guide)](./integrations-milvus-and-cohere.md)

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