Intro to RAG (Retrieval Augmented Generation)

​Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. It is a technique commonly used with LLMs to augment its capabilities with one's documents.

​Blog post: https://ai.meta.com/blog/retrieval-augmented-generation-streamlining-the-creation-of-intelligent-natural-language-processing-models/