Agents need vector search more than RAG ever did

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

KIOXIA Achieves 4.8 Billion High-Dimensional Vector Search Database on a Single Server, with 7.8x Index Build Time Acceleration via GPUs

Kioxia Corporation today announced the successful demonstration of achieving high-dimensional vector search scaling to 4.8 billion vectors on a single server with its open-source KIOXIA AiSAQ(TM) ...
TweakTown

KIOXIA achieves 4.8 billion vector search on a single AI server with minimal DRAM

KIOXIA achieves 4.8 billion high-dimensional vector search database on a single server, with a significant reduction in index build time.
InfoWorld

Why Postgres® has won as the de facto database: Today and for the agentic future

The 13% succeeding with AI platforms share one move: unifying their data on an extensible Postgres® foundation.
Milwaukee Journal Sentinel

Endee.io Open Sources its High-Performance Vector Database for Scalable AI

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...
Searchenginejournal.com

Information Retrieval Part 3: Vectorization And Transformers (Not The Film)

Information retrieval systems are designed to satisfy a user. To make a user happy with the quality of their recall. It’s important we understand that. Every system and its inputs and outputs are ...