The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today ...

Google: Browsy Queries Favor Full SERPs Not AI

Google's Liz Reid says users are moving beyond "keyword-ese" for complex AI queries, while browsy queries may still favor the ...
Crypto Briefing

Ash Ashutosh: The shift to agent-centric systems is revealing flaws in data retrieval, AI agents struggle with task completion rates below 50%, and vector databases are key to ...

For years systems like databases and search were designed around human interaction… but with the rise of agents that model starts to break down. — Ash Ashutosh The transition to agent-centric systems ...
InfoQ

GitHub Enhances CodeQL with Declarative Security Modeling for Faster, More Flexible Analysis

GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...
Computer Weekly

Pinecone Nexus offers a knowledge engine for agents

Nexus has two core components: a context compiler and a composable retriever. The context compiler builds and organises knowledge around how your company operates. The composable retriever formats and ...

The 10-gate AI search pipeline: Find where your content fails

AI search is a multiplicative system where one weak signal limits results. Diagnose bottlenecks, prioritize fixes, and ...

Google’s Black Box AI Models: What Search Professionals Need To Understand

Google's Nikola Todorovic said AI can act "like a kind of a black box" while explaining why machine learning was hard to deploy in Search.