RAG-MultiFile-QA and RAG1-NVIDIA-GENAI
Both are RAG-based AI chatbots for document analysis and question-answering, making them direct competitors in the "document-qa-chatbots" category, with each offering a distinct implementation (LangChain/Hugging Face vs. NVIDIA AI endpoints/Streamlit).
About RAG-MultiFile-QA
Uni-Creator/RAG-MultiFile-QA
A RAG (Retrieval-Augmented Generation) AI chatbot that allows users to upload multiple document types (PDF, DOCX, TXT, CSV) and ask questions about the content. Built using LangChain, Hugging Face embeddings, and Streamlit, it enables efficient document search and question answering using vector-based retrieval. 🚀
About RAG1-NVIDIA-GENAI
arsath-eng/RAG1-NVIDIA-GENAI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
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