Everything You Need to Know about Basic RAG

Demystifying the Basics of Retrieval Augmented Generation (RAG)

Retrieval Augmented Generation (RAG) is a technique that integrates external knowledge sources into large language models (LLMs) to enhance their response generation capabilities. By ingesting knowledge databases into the LLM, RAG allows the model to access information beyond its training data, leading to more accurate and informative responses.

In this blog post, we’ll walk through the fundamental components of a RAG system…