--- title: Building AI With MongoDB: Integrating Vector Search And... 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... canonical: https://daily.dev/posts/building-ai-with-mongodb-integrating-vector-search-and-cohere-to-build-frontier-enterprise-apps-242ohcbls twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps | daily.dev 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... og:url: https://daily.dev/posts/building-ai-with-mongodb-integrating-vector-search-and-cohere-to-build-frontier-enterprise-apps-242ohcbls og:image: https://api.daily.dev/og/posts/242OHcbLS.png og:image:alt: Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps og:image:width: 1200 og:image:height: 630 og:locale: en --- [MongoDB](https://daily.dev/sources/mongo) [Read post](https://api.daily.dev/r/242OHcbLS) # [Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps](https://api.daily.dev/r/242OHcbLS "Go to post") 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. [#ai](/tags/ai "Check all #ai posts")[#mongodb](/tags/mongodb "Check all #mongodb posts")[#vector-search](/tags/vector-search "Check all #vector-search posts")[#cohere](/tags/cohere "Check all #cohere posts") Apr 25, 2024•4m read time•From [mongodb.com](https://api.daily.dev/r/242OHcbLS "mongodb.com") [](https://api.daily.dev/r/242OHcbLS "Go to post") Table of contents [A new approach to vector embeddings](https://api.daily.dev/r/242OHcbLS "A new approach to vector embeddings")[Why MongoDB Atlas and Cohere?](https://api.daily.dev/r/242OHcbLS "Why MongoDB Atlas and Cohere?")[What's next?](https://api.daily.dev/r/242OHcbLS "What's next?") 27 Impressions5 Upvotes Comment Bookmark Copy Share your thoughtsPost [](https://daily.dev/sources/mongo) [MongoDB](https://daily.dev/sources/mongo "https://daily.dev/sources/mongo") The MongoDB blog offers developers insights into MongoDB database technology, including tutorials, b... 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