Compass, meet Atlas. 🤝 You’ve probably used the Atlas UI for quick lookups and Compass for serious query building and schema analysis. But what if whatever you could do in Compass, you could also do in Atlas? Today, we’re thrilled to introduce the new Data Explorer in MongoDB Atlas! We’ve unified the best of both worlds, bringing your favorite features of Compass, the desktop application, directly into the Atlas UI. With the new Data Explorer interface, you can now: • Create queries using natur
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FacebookMongoDB
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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FacebookMongoDB
How to Integrate Elasticsearch and MongoDB: Easy Steps
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hevodata.com
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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We’ll search through different data types, including text, numbers, dates, and geoJSON while exploring a variety of search capabilities | MongoDB
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Scaling vector search is one of the biggest challenges for AI-driven applications. We tested MongoDB Atlas Vector Search with a 15.3 million vector dataset and found it retains 90-95% accuracy with less than 50ms of query latency. In our new blog post, we break down the methodology, key performance factors like quantization and dimensionality, and what the results mean for your own large-scale workloads. Learn how to optimize your deployment. Read the full analysis: https://mongodb.social/6186fQ
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MongoDB $weeklyUpdate #88 (September 22, 2022): Build a Search Index for Your App!
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