Full-text search makes it easy to find content in your database by using criteria such as text, latitude, longitude, and vector embeddings to scan indexes for matches. FTS indexes are pre-organized to make retrieval faster than traditional field-based database scanning. Integrated JSON full-text search on Couchbase provides powerful search tooling with multi-language and SQL++ query support. Find documents by using simple or complex terms and phrases, geolocation, and vector search, without the need for any third-party software.
Eliminate secondary systems and data integrations, increase productivity with a single search and database system combined.
Reduce the overall cost of your stack by using a single vendor for search and database licensing, training, and support.
Improve your overall security with a single-system architecture that requires only one point of management.
Give developers an integrated text search system so they don’t have to learn new SDKs and management tooling.
Full-text search is fully integrated as a flexible and distributed system for your JSON database searching needs. Index and find text, geographic coordinates, and vectors within any type of Couchbase document while returning search results through SQL++ queries, the SDK, or a single integrated management interface.
Index using powerful multi-language text analyzers and the flexibility of multiple fields, nested objects, and arrays.
Single indexes support multi-field queries, using exact or fuzzy matches and any combination of ANDs and ORs.
Reduce code complexity with the ability to combine SQL++, full-text search, geospatial, and vector into a single query when needed.
Our full-text search engine comes from the Bleve open source project, a powerful search and indexing Go library.
With our full-text search, you can add powerful and flexible capabilities to your Couchbase applications without any additional download or installation required. Enable the service, create an index, and start searching right away.
You can use full-text search queries directly within a SQL++ query, including text, vector, and geospatial. This eliminates the need to write complex code to process and combine the results from separate SQL and search queries.
Text search tools are integrated into Couchbase with built-in partitioning, replication, and auto-failover for high availability. You can scale out full-text search with the same flexible distributed and scale-out architecture of the Couchbase database platform.
“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.”
“We’re happy with Couchbase’s availability, performance, easy-to-replicate data, security, scalability, and full-text search.”
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