Retrieval Augmented Generation (RAG) is a language model that combines the strengths of retrieval-based and generation-based approaches to generate high-quality text. Here’s a breakdown of how it…

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Retrieval Augmented Generation (RAG) is a language model that combines retrieval-based and generation-based approaches to generate high-quality text. It has advantages such as improved accuracy, flexibility, and scalability. RAG can be used for question answering, text summarization, text generation, and chatbots.

Building a RAG Chatbot using Llamaindex, Groq with Llama3 & Chainlit