# MongoDB and Cohere (Integration Guide)

<img src="../img/fern/assets/images/f9726ea-mongo-db-logo.png" alt="">

MongoDB Atlas Vector Search is a fully managed vector search platform from MongoDB. It can be used with Cohere's Embed and Rerank models to easily build semantic search or retrieval-augmented generation (RAG) systems with your data from MongoDB.

[This guide](https://www.mongodb.com/developer/products/atlas/how-use-cohere-embeddings-rerank-modules-mongodb-atlas/) walks through how to integrate Cohere models with MongoDB Atlas Vector Search.

## Related pages

- [Elasticsearch and Cohere (Integration Guide)](./integrations-elasticsearch-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)
- [Zilliz and Cohere (Integration Guide)](./integrations-zilliz-and-cohere.md)

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