MongoDB expands AI retrieval for Enterprise data with Voyage AI and Hybrid Search.
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MongoDB expands AI retrieval for Enterprise data with Voyage AI and Hybrid Search. Can MongoDB help enterprises make AI retrieval accurate enough for production? Yes. The company announced new retrieval and deployment capabilities at MongoDB.local Bengaluru that targets two common blockers in enterprise AI: unreliable retrieval and compliance limits around where data can run. The updates include voyage-context-4, Hybrid Search, Native Reranking, and expanded Search and Vector Search availability across Atlas, Enterprise Advanced, and Community Edition. Celebrate the 4th of July with ODSC! For a limited time, we're giving you 4 ways to upgrade your data science training experience. Whether you want to unlock Personal AI Recordings, grab a Pass Upgrade, secure VIP Lunch Access, or take advantage of our Buy 2, Get 1 Free team deal, the choice is yours. MongoDB targets retrieval accuracy inside the database. MongoDB's latest updates focus on a central problem in retrieval-augmented generation, or RAG: AI systems need current, trusted data to generate useful results. When retrieval pulls stale, incomplete, or poorly ranked information, downstream applications can produce weak outputs or compound errors across workflows. Native Reranking in MongoDB Atlas, now in public preview, uses Voyage AI to improve result quality inside the database. MongoDB says the feature can improve...
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