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 ...
Morningstar

Vectorize Breaks 90% on LongMemEval with Open-Source AI Agent Memory System

BOULDER, Colo., Dec. 16, 2025 /PRNewswire/ -- Vectorize today released Hindsight, an open-source memory system for AI agents that, for the first time, surpasses 90% accuracy on LongMemEval, the ...

Zilliz Open-Sources Memsearch, Giving AI Agents Persistent, Human-Readable Memory

New open-source library lets developers give any AI agent long-term memory that humans can read, edit, and trust—extracted ...
FinanceFeeds

How to Deploy On-Chain AI Agents Using Integrated LLMs

The future of decentralized finance (DeFi) has gone beyond just smart contracts with the mass adoption of artificial intelligence (AI). There is now a growing ...
InfoWorld

How to make AI agents reliable

We need to stop trying to build ‘God-tier’ agents that can do everything and start building ‘intern-tier’ agents that do one thing perfectly. It’s time to wake up from the fever dream of autonomous AI ...

Teradata Enables AI Agents to Autonomously Process Text, Images, and Audio at Enterprise Scale

Teradata Enterprise Vector Store unifies structured and unstructured data with agentic capabilities across hybrid environments, enabling rapid deployment of production-ready AI systems 10 — Teradata ...