As we have noted before, vector databases aren’t new even though people talk about them that way, and in fact can trace their origins back a few decades. Exactly when depends on who you ask, but their ...
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 ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
The rigorous head-to-head comparison tested Couchbase and MongoDB against datasets of 100 million vectors with 768 dimensions, and 1 billion vectors with 128 dimensions, measuring QPS, response ...
SAN JOSE, Calif., Oct. 23, 2025 /PRNewswire/ -- Couchbase, Inc., the developer data platform for critical applications in our AI world, today announced results from a Couchbase benchmark test using an ...
The MarketWatch News Department was not involved in the creation of this content. Couchbase Hyperscale Vector Index (HVI) Delivers Breakthrough Performance Against MongoDB in Independent Billion-Scale ...
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. Suppose you wanted to ...