A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

Google researchers introduced a method to improve AI search and assistants by enhancing Retrieval-Augmented Generation (RAG) models’ ability to recognize when retrieved information lacks sufficient ...

The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses ...

What if the very systems designed to enhance accuracy were the ones sabotaging it? Retrieval-Augmented Generation (RAG) systems, hailed as a breakthrough in how large language models (LLMs) integrate ...

Every day, AI vendors bravely venture into my inbox with shiny new AI pitches. Often, they get a provocative response for their trouble. Sometimes, these conversations actually go somewhere. In this ...