chatwithdocs 开源项目推荐（10 个）

docspedia /docspedia

用你本地的LLM和OLLAMA客户端聊天你的PDF。

cu-sanjay /Chat_with_PDF

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.

VigneshDevelops /chat-with-docs

Chat with documents using GPT, Langchain & Pinecone! (React UI & Python Fastapi)

NeilFabiao /ChatWithWeb

Jarvis 🤖: A RAG (Retrieval-Augmented Generation) based virtual assistant which uses websites as source of information before generating a response.

junioralive /doc-gpt

An intelligent document analysis platform

usman-rizwan /docsy-ai

Docsy AI transforms your static PDF documents into interactive, intelligent assistants. Simply upload a PDF and start chatting — ask natural questions, get instant summaries, and extract key insights from complex content with ease using an AI-powered interface.

jigyasaG18 /AI-Based-Document-Search-and-Knowledge-Retrieval-with-Conversational-Interface

Gemini PDF Chatbot is an AI-powered application that lets you chat with PDF documents. It uses Google Gemini, LangChain, and FAISS to extract, embed, and semantically search PDF content, providing context-aware answers to your questions. Perfect for research, business reports, or personal knowledge management.

CodewithAbhi7 /Chat-with-Various-type-Documents-using-Meta-AI

This Streamlit-based system supports multi-format document(PDFs, DOCX, HTML, and images) ingestion, text extraction, chunking, and FAISS-based indexing, enabling question answering via a lightweight, API-free Meta/LLaMA-compatible inference interface

AdityaTote /chat-with-doc

AI-powered document chat using RAG. Upload PDFs, ask questions, get contextual answers powered by Google Gemini and ChromaDB vector search.

pandikumar0 /Chat-with-Document

Chat with Document is an web-application deployed using streamlit which interacts with uploaded document then give answer to the question related to document; working based on the pre-trained Large Language Model as Impira.