🤖 A Generative AI chatbot that answers questions from PDFs using FLAN-T5 and sentence-transformers, built with Streamlit.
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Updated
Apr 30, 2025 - Python
🤖 A Generative AI chatbot that answers questions from PDFs using FLAN-T5 and sentence-transformers, built with Streamlit.
Sleek Streamlit chat app for Google Gemini (Files API). Dark, gradient UI with model picker, usage dialog, file/image/audio/PDF attach & preview, chat history, image persistence, robust error handling, and token usage tracking. Supports streaming replies and modular backend via google-genai.
Streamlit-based chatbot to interact with PDFs using Retrieval-Augmented Generation (RAG), FAISS, Sentence Transformers, and Mistral LLM
This is a Streamlit web application that allows users to upload a PDF document, extract text from it, and ask questions based on the extracted content using Google Gemini AI.
Chat with annual reports and financial statements using LangChain, Redis Vector Store, and Streamlit — fully Dockerized RAG pipeline
An AI-powered research assistant that answers academic questions from uploaded PDFs or links (arXiv, PubMed) and returns context-rich answers with citation support using LangChain, LLaMA 3 (Groq), and FAISS.
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