DEVOPSdigest

Couchbase announced that Couchbase Mobile is generally available with vector search, which makes it possible for customers to offer similarity and hybrid search in their applications on mobile and at the edge.

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 adaptive applications that run from cloud to edge.

Couchbase offers vector search support from cloud to edge, enabling offline-first edge AI applications for customers. Using vector search on-device with Couchbase Lite, the embedded database for mobile and IoT applications, mobile developers can now leverage vector search at the edge for building fast, secure and reliable semantic search and retrieval-augmented generation (RAG) applications that work even without an internet connection.

“By enabling on-device vector search, we’re not just speeding up applications and eliminating downtime due to internet outages; we’re opening up new possibilities for secure AI development,” said Matt McDonough, SVP of Product and Partners at Couchbase. “Our solution combines the cloud’s scalability to handle massive AI datasets with edge capabilities for immediate, on-device processing. This unique combination, along with our support for multiple search techniques accessible through a single SQL++ query, empowers developers to create sophisticated GenAI applications that can run entirely on-device. This means organizations can now harness the power of AI without compromising on latency, data privacy or performance, bringing adaptive intelligence to the edge.”