Retrieval Augmented Generation, the Driving Force Powering AI Search Platforms

Retrieval-augmented generation (RAG) is a method for enhancing searches, providing greater context to the questions users ask.

Cognistx Data Scientist Justin Waltrip explains how RAG is the driving force behind powerful new search platforms and the difference it makes.

Cognistx uses RAG to power SQUARE, an AI-powered enterprise search tool that uses customer's data to generate the responses.