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An open-source generative AI documentation assistant tool that helps users obtain reliable answers from knowledge bases, avoid hallucination issues, supports private deployment, and reliable information retrieval.

MITTypeScript 15.7karc53 Last Updated: 2025-06-19

DocsGPT - Open Source Intelligent Document Assistant

Project Overview

DocsGPT is an open-source generative AI tool that helps users obtain reliable answers from any knowledge source while avoiding hallucination issues. It enables fast and reliable information retrieval with built-in tools and agent system capabilities.

DocsGPT is an open-source document assistant based on RAG (Retrieval-Augmented Generation) technology, specifically designed for document question answering and knowledge management scenarios.

Core Features

📁 Wide Format Support

  • Supported Formats: PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, and image files
  • Multi-Source Data Ingestion: Supports URLs, sitemaps, Reddit, GitHub, and web crawlers

🎯 Reliable Answer Generation

  • Accuracy Guarantee: Provides accurate, hallucination-free responses
  • Source Citation: Displays viewable source citations in a clear UI
  • Context-Based: Specifically optimized for context provided by documents

🔑 Simplified API Management

  • API Key Management: Generate and set keys associated with documents and models
  • Simplified Integration: Streamlines chatbot and integration setup

🔗 Actionable Tool Integration

  • API Connectivity: Connect to APIs, tools, and other services
  • LLM Operations: Enables operational capabilities for large language models

🧩 Pre-built Integrations

  • Ready-to-Use Components: HTML/React chat widgets
  • Search Tools: Built-in search functionality
  • Bot Integrations: Discord/Telegram bot support

🔌 Flexible Deployment Options

  • Multi-Model Support: Compatible with major LLM providers (OpenAI, Google, Anthropic)
  • Local Models: Supports local models (Ollama, llama_cpp)
  • Deployment Methods: Supports various deployment methods such as Docker and Kubernetes

🏢 Security and Scalability

  • Private Running: Supports private deployment
  • Enterprise-Grade: Designed for enterprise-level reliability
  • Kubernetes Support: Supports containerized deployment

Technical Architecture

Project Structure

  • Application: Flask application (main application)
  • Extensions: Extension components, such as React widgets or Discord bots
  • Scripts: Various auxiliary scripts

Deployment Methods

The project offers several deployment options:

  1. Using a public API
  2. Running locally
  3. Connecting to a local inference engine
  4. Using a cloud API provider

Quick Start

System Requirements

Ensure Docker is installed

Installation Steps

  1. Clone the Repository
git clone https://github.com/arc53/DocsGPT.git
cd DocsGPT
  1. Run the Setup Script

For macOS and Linux:

./setup.sh

For Windows:

PowerShell -ExecutionPolicy Bypass -File .\setup.ps1
  1. Access the Application Navigate to http://localhost:5173/

  2. Stop the Service

docker compose -f deployment/docker-compose.yaml down

Use Cases

Enterprise Document Management

  • Internal knowledge base Q&A
  • Technical documentation retrieval
  • Employee training support

Developer Support

  • Code documentation query
  • API documentation assistant
  • Technical support automation

Education and Training

  • Learning material Q&A
  • Course content retrieval
  • Online education assistance

Summary

DocsGPT, as a powerful and flexible open-source document assistant, provides organizations of all sizes with solutions to improve document workflows and increase productivity. Its private deployment capabilities and enterprise-grade features make it particularly suitable for organizations with strict data security requirements.