MongoDB $weeklyUpdate #88 (September 22, 2022): Build a Search Index for Your App!
MongoDB $weeklyUpdate #88 (September 22, 2022): Build a Sear…
2 周前
dev.to
14 reactions |  ICYMI: Day 1 of #MDBW22 was packed full of keynotes, exciting announcements, hands-on tutorials, and that’s just scratching the surface. Read the complete recap  https://bit.ly/3O3Yj0Q | MongoDB | Facebook
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14 reactions |  ICYMI: Day 1 of #MDBW22 was packed full of keyn…
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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
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1.3K views | Deliver application search features 30-50% faster with MongoDB Atlas Search. | MongoDB | Facebook
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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.
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