Smarter AI Search, Powered by MongoDB Atlas and Pureinsights

We’re excited to announce that the mixing of MongoDB Atlas with the Pureinsights Discovery Platform is now typically accessible—bringing to life a reimagined search expertise powered by key phrase, vector, and gen AI.

What in case your search field didn’t simply discover outcomes, however as an alternative understood intent? That’s precisely what this integration delivers!

Past search: From matching to which means

Builders depend on MongoDB’s expansive data ecosystem to seek out solutions quick. However even with a wealthy library of technical blogs, discussion board threads, and documentation, conventional key phrase search usually falls quick—particularly when queries are nuanced, multilingual, or context-driven.

That’s the place the MongoDB-Pureinsights answer shines.
Constructed on MongoDB Atlas and orchestrated by the Pureinsights Discovery platform, this clever search expertise begins with the basics: quick, correct key phrase outcomes, powered by MongoDB Atlas Search.

However as queries develop extra ambiguous—say, “tutorials for AI”—the platform steps up. MongoDB Atlas Vector Search with Voyage AI, accessible as an embedding and reranking choice (now a part of MongoDB), goes past literal key phrases to interpret intent—serving to purposes ship smarter, extra related outcomes. The end result: smarter, semantically conscious responses that really feel intuitive and correct—as a result of they’re.

What’s extra, with generative solutions enabled, the platform synthesizes info throughout MongoDB’s ecosystem (weblog content material, boards, and technical docs) to ship clear, contextual solutions utilizing state-of-the-art language fashions. Nevertheless it’s not simply pointing you to the best web page. As a substitute, the platform is offering the best reply, with citations, prepared to make use of. It’s like embedding a domain-trained AI assistant straight into your search bar.

“As organizations look to maneuver past conventional key phrase search, they want options that mix pace, relevance, and contextual understanding,” stated Haim Ribbi, Vice President, International CSI, VAR & Tech Associate at MongoDB. “MongoDB Atlas gives the muse for smarter discovery, and this collaboration with Pureinsights reveals how simply groups can ship gen AI-powered search experiences utilizing their present content material.”

Constructed for customers in all places

However intelligence alone doesn’t make it transformational. What units this expertise aside is its adaptability. Whether or not you’re a developer troubleshooting in Berlin or a product proprietor constructing in São Paulo, the platform tailors responses to your preferences.

Desire concise summaries or deep technical dives? Need to translate solutions in actual time? Want responses that mirror your function and context? You’re in management. From tone and size to language and specificity, it is a search that actually understands you—actually and figuratively.

Constructed on MongoDB. Elevated by Voyage AI. Delivered by Pureinsights.

On the core of this answer is MongoDB Atlas, which unifies quick, scalable information entry to structured content material by means of Atlas Search and Atlas Vector Search. Trying forward, by integrating with Voyage AI’s industry-leading embedding fashions, MongoDB Atlas goals to make semantic search and retrieval-augmented era (RAG) purposes much more correct and dependable. Whereas presently in personal preview, this enhancement alerts a promising future for builders constructing clever, AI-powered experiences.

Pureinsights handles the orchestration layer. Their Discovery Platform ingests and enriches content material, blends key phrase, vector, and generative search right into a seamless UI, and integrates with giant language fashions like GPT-4. The platform helps multilingual capabilities, straightforward deployment, and enterprise-grade scalability out of the field. Whereas generative solutions are powered by built-in giant language fashions (LLMs) and should fluctuate by deployment, the answer is enterprise-ready, cloud-native, and constructed to scale.

Bringing clever discovery to your personal information

Watch the demo video to see AI-powered search in motion throughout 4,000+ pages of MongoDB content material—from group boards and weblog posts to technical documentation.

Whereas the demo options MongoDB’s content material, the answer is constructed to adapt. You’ll be able to convey the identical AI-powered expertise to your inside data base, buyer assist portal, or developer hub—no must construct from scratch.