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description: Cohere integrates with MongoDB Atlas Vector Search to build a state-of-the-art semantic search system. Their models offer the best performance-cost tradeoff...
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og:description: Cohere integrates with MongoDB Atlas Vector Search to build a state-of-the-art semantic search system. Their models offer the best performance-cost tradeoff...
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# Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps

**[MongoDB](https://daily.dev/sources/mongo)** · 4 min read · 5 upvotes · 0 comments

## Summary

Cohere integrates with MongoDB Atlas Vector Search to build a state-of-the-art semantic search system. Their models offer the best performance-cost tradeoff for mission-critical AI workloads and can be deployed in production at scale. Developers can use Cohere embeddings and rerank modules with MongoDB Atlas to improve search accuracy and quality of keyword and vector search results.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.mongodb.com/blog/post/integrating-vector-search-cohere-build-frontier-enterprise-apps>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#mongodb](https://daily.dev/tags/mongodb), [#vector-search](https://daily.dev/tags/vector-search), [#cohere](https://daily.dev/tags/cohere)

[View this post on daily.dev](https://daily.dev/posts/building-ai-with-mongodb-integrating-vector-search-and-cohere-to-build-frontier-enterprise-apps-242ohcbls)

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