Techzine Europe

RAG ‘2.0’: the Instructed Retriever links AI agents to the right data

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

Want AI agents to work better? Improve the way they retrieve information, Databricks says

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Forbes

Why RAG Alone Isn't Enough To Achieve Real ROI In The Agentic AI Era

If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...
CMS Wire

Coveo Launches RAG-as-a-Service for AWS AI Agents

Developer impact. Developers gain a managed foundation for building compliant, contextually relevant GenAI applications. Coveo launched RAG-as-a-Service for AWS AI agents on Dec. 1, providing a ...
PCquest.com on MSN

Agentic AI Enterprise Strategy: From Copilots to Control Towers

AI is outgrowing copilots. Indian enterprises now face a bigger test: can they govern, scale, and trust autonomous systems ...

AI in 2026: Moving Beyond Pilots and Prototypes, into the Era of Orchestration, Agentic RAG and Scale

If 2023–2025 were the years of pilots and prototypes, 2026 will be about orchestration, governance, and scale. The signal ...
Morning Overview on MSNOpinion

AI’s next wave: new designs, AGI bets, and less LLM hype

After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...