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This repository contains the implementation of a Retrieval-Augmented Generation (RAG) agent using Large Language Models (LLMs). RAG agents combine the power of information retrieval with text generation, enabling applications such as intelligent question-answering systems, and more.
This Repository contains the real life use cases of Gen-Ai (Google's Gemini + Simple RAG) in Finance Domain. It helps in summarizing any articles , but will be useful for analyzing those lengthy and complicated financial articles .