PDF GPT 让你利用 GPT 能力与 PDF 文件内容聊天。将你的 PDF 文件变成聊天机器人的最有效开源解决方案!
chatwithpdf 开源项目推荐(31 个)
chatwithpdf 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 31 个仓库Ask questions about any data source by leveraging langchains
A Node.js AI chatbot with unlimited context and chat history.
DocsGPT: Unlock the conversation within your documents | Upload --> Ask --> Interact
用你本地的LLM和OLLAMA客户端聊天你的PDF。
Streamlit application that allows users to upload multiple PDF files, ask questions about the content of the PDFs, and receive answers based on the provided context.
This application allows users to upload PDF files, process them, and ask questions about the content using a locally hosted language model. The system uses Retrieval-Augmented Generation (RAG) to provide accurate answers based on the uploaded PDFs.
PDF AI Assistant Powered By Genimi
Vercel: https://arhans-chat-to-pdf.vercel.app
A utility to chat with documents
pdf chat application for nodejs.
An advanced AI-powered Streamlit application that transforms how you interact with PDF documents. Perfect for students, researchers, and professionals who need to extract insights, generate summaries and create study materials from their documents.
This project is using the LangChain library and OpenAI to create an agent that can answer questions about a dataset (in this case, the iris dataset). The agent is created using a CSV agent and an OpenAI language model, which allows the user to interact with the data using natural language queries.
Chat with documents using GPT, Langchain & Pinecone! (React UI & Python Fastapi)
PDF Summarizer is a Java Spring Boot web application that allows users to upload PDF files and receive concise text summaries. It uses Apache PDFBox to extract text and a custom frequency-based algorithm to identify and display the most relevant sentences.
An intelligent document analysis platform
This is a Streamlit application that enables you to chat with the content of a PDF file using state-of-the-art NLP techniques! With this app, you can upload a PDF file, ask questions about its content, and get intelligent answers in real time.
DocChat is a Streamlit-based chatbot application that allows you to interact with PDF documents in a conversational manner. It leverages a locally stored sentence-transformer model for semantic search and a local GPT model for generating contextual responses.
Chat With PDF is a full-stack application that allows users to upload PDF files and interact with them using local AI models. The project uses Ollama for local LLM inference, Qdrant as the vector database, Valkey for caching/queueing, and Clerk for authentication.
This is the chatbot where you can chat with pdf , here I used langchain, streamlit framework and Groq api for LLM you can see readme file to get this api
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/chatwithpdf。
- 该话题在 GitHub 上共有 31 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 7822 Star,覆盖 4 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。