Retrieval-Augmented Generation (RAG) using Llama 2,ChromaDB , Together AI for Retrieval QA

Retrieval-Augmented Generation (RAG) is a quick and viable approach to training Large Language Models (LLMs) in specialized domain knowledge. The RAG system involves a retrieval phase that searches for relevant documents and a generation phase that uses the retrieved documents to produce informative and accurate responses. The post also provides instructions for setting up the Together API and storing documents in ChromaDB.