In recent years search capabilities in databases have evolved tremendously. Modern applications require a more intuitive approach that understands user intent, not just about matching keywords to the best results. That's where semantic and vector search come in. - Semantic Search focuses on the meaning and context behind a query. If a user searches for "shoes for the beach," it knows to return sandals and flip-flops, understanding the contextual relationship. - Vector Search is the powerful engi

1.3K views | Deliver application search features 30-50% faster with MongoDB Atlas Search. | MongoDB | Facebook

Let’s talk about the future of search. What if you could combine the precision of keyword search with the semantic power of vector search, in a single query? 🚀 Introducing native hybrid search in MongoDB Atlas, now in public preview. With the new $rankFusion stage in Atlas Search, you can merge full-text and vector search results into a single ranked list using reciprocal rank fusion (RRF). That means smarter, more relevant results—without bolting on a separate vector database or search engine.