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Similarity search, hybrid search
Similarity is a powerful tool for users to find products and information, but many real-world scenarios have users wanting to search across a variety of methods, like text, geolocations, ranges, and include operational data too. Couchbase lets developers build powerful search functionality to delight users.
Agentic and RAG apps
AI agents will add a new level of sophistication and reasoning to how users will interact with an organization and their data. Using RAG, teams can make GenAI apps safer, more accurate, and up to date.
Fraud and anomaly detection
By converting user behavior and transactions into vectors, those patterns can be compared to other similar vector representations that might indicate fraud. Vector search is effective in handling high-dimensional data and similarity matching.
Mobile vector apps
Running vector search in mobile and embedded devices comes with all the benefits of edge computing including millisecond response times, reliability, availability even without the internet (“offline-first”), bandwidth savings, and most importantly, customized responses without compromising on data privacy.
What customers are saying
“With search integrated into Couchbase, we can seamlessly search all this data and derive relevance-based intelligence using a single data platform.”
“Couchbase Search allows us to deliver customer search results from extremely large data sets very efficiently.”
“Couchbase is a trifecta of value. We get more features, save time, and spend less money all at once.”
“Couchbase provides a solution no others do. It gives us the modularity we need with immediate operational simplicity, high performance, and scalability.”
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