What happens when your AI-powered retrieval system gives you incomplete or irrelevant answers? Imagine searching a compliance document for a specific regulation, only to receive fragmented or ...

What if the very method you rely on to simplify information is actually sabotaging your results? Imagine a Retrieval-Augmented Generation (RAG) system tasked with answering a critical question from a ...

To help solve this, Google released the File Search Tool on the Gemini API, a fully managed RAG system “that abstracts away the retrieval pipeline.” File Search removes much of the tool and ...

Artificial intelligence agent and assistant platform provider Vectara Inc. today announced the launch of Open RAG Eval, an open-source evaluation framework for retrieval-augmented generation. RAG is a ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture.

Retrieval-augmented generation—or RAG—is an AI strategy that supplements text generation with information from private or proprietary data sources, according to Elastic, the search AI company. RAG ...