What Is Retrieval-Augmented Generation (RAG)?(blog.novusteck.com)

blog.novusteck.com

What Is Retrieval-Augmented Generation (RAG)?

https://blog.novusteck.com/what-is-retrieval-augmented-generation-rag

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Large Language Models are trained on a fixed dataset, which limits their ability to handle private or recent information. They can sometimes "hallucinate", providing incorrect yet believable answers. The Retrieval-Augmented Generation (RAG) framework addresses this issue by using external documents to improve the LLM's responses through in-context learning. RAG ensures that the information provided by the LLM is not only contextually relevant but also accurate and up-to-date. If you want to learn more about it along with a code implementation of every technique, you should check this repo out: https://github.com/athina-ai/rag-cookbooks