For its part, Couchbase said it was introducing vector search as a feature in its Capella database-as-a-service (DBaaS) and Couchbase Server, enabling enterprises to use vector search capabilities ...

Scott Anderson, Couchbase’s senior vice president of product management and business operations, said vector search will enhance the results of each query its database handles.

With Capella Columnar and vector search capabilities in one cloud database platform, Couchbase helps customers reduce cost and simplify operations, while enabling developers to create trustworthy ...

Vector search allows similar objects to be discovered in a search query, even if they are not a direct match, as it returns “nearest-neighbor results.

The latest release of the Couchbase database adds support for vector search, integration with Llamaindex and LangChain, and support for retrieval-augmented generation (RAG) techniques, all of which ...

Couchbase is updating its namesake NoSQL database platform with new capabilities to accelerate the development of AI-powered adaptive applications The big new addition to Couchbase is support for ...

While Couchbase is now jumping into the gen AI era with Capella IQ, it is still missing at least one critical element needed to help power AI applications: vector embedding support.

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.