1.
2.
Agents need vector search more than RAG ever did
(venturebeat.com)
3.
Enterprises are measuring the wrong part of RAG
(venturebeat.com)
4.
5.
6.
7.
8.
9.
Energy and memory: A new neural network paradigm
(sciencedaily.com)
10.
11.
Rerank-2.5 and rerank-2.5-lite: instruction-following rerankers
(news.ycombinator.com)
12.
rerank-2.5 and rerank-2.5-lite: instruction-following rerankers
(news.ycombinator.com)
13.
14.
Muvera: Making multi-vector retrieval as fast as single-vector search
(news.ycombinator.com)