Full-Text Search

Couchbase’s full-text search integrates powerful, flexible tools directly into its database, enabling users to easily find data across text, geolocation, and vectors, thus improving scalability, security, and cost-efficiency for modern applications.

What is full-text search (FTS)?

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.

Don’t let search challenges hold you back

Simple

Eliminate secondary systems and data integrations, increase productivity with a single search and database system combined.

Affordable

Reduce the overall cost of your stack by using a single vendor for search and database licensing, training, and support.

Secure

Improve your overall security with a single-system architecture that requires only one point of management.

Integrated

Give developers an integrated text search system so they don’t have to learn new SDKs and management tooling.

Full-text search key services & capabilities

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 JSON data

    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.

  • Hybrid query integration

    Reduce code complexity with the ability to combine SQL++, full-text search, geospatial, and vector into a single query when needed.

  • Bleve open source

    Our full-text search engine comes from the Bleve open source project, a powerful search and indexing Go library.

Develop modern applications more easily

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.

Built-in HA for any scale

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.

What customers are saying

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