使用 LangChain 把 PDF 生成音频播客
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Updated
May 10, 2023 - Jupyter Notebook
使用 LangChain 把 PDF 生成音频播客
Streamlit-based chatbot to interact with PDFs using Retrieval-Augmented Generation (RAG), FAISS, Sentence Transformers, and Mistral LLM
🤖 A Generative AI chatbot that answers questions from PDFs using FLAN-T5 and sentence-transformers, built with Streamlit.
Chat-with-Your-Documents is an AI-powered document chatbot using RAG, FastAPI, and React.js for local PDF question answering.
🧠 Hands-on RAG workshop using InterSystems IRIS & LLMs - Build PDF Q&A systems, natural language-to-SQL interfaces, and learn AI agent architecture with local/cloud options
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.
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.
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.
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