Retrieval Augmented Generation (RAG)

A technique used to teach an existing Large Language Models (LLM) new information by augmenting Prompt with external data in the form of chunks of documents. It combines the capabilities of Retrieval Systems and generative language models to produce high-quality and informative text outputs.

Business Applications:

  • Building intelligent question-answering systems 
  • Expanding and enriching existing knowledge bases 
  • Generating high-quality content