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RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
This project aims to build a chatbot for Amazon sellers, addressing various issues related to selling on Amazon such as logistics, marketing, and more. This is an educational study for experimental purposes and not a fully-fledged chatbot solution. We used Llama-Parse, GPT3.5Turbo and Streamlit..
Q&A Chatbot capable of answering questions related to the financial reports of large public companies. This chatbot can be directly hosted in Heroku platform. The RAG (Retrieval-Augmented Generation) approach is used.