Generate Interactive Documentation Effortlessly: A Guide to DeepWiki Open Source AI Wiki Generator

Struggling to document your GitHub or GitLab repositories effectively? Do you need a way to present complex code in an easily digestible format? DeepWiki is an open-source AI-powered wiki generator that instantly transforms your repositories into interactive and well-documented wikis. It simplifies code understanding and collaboration.

Why Choose DeepWiki? The Benefits of Automated Documentation

DeepWiki automates the tedious task of documentation, providing numerous advantages:

• Instant Wiki Generation: Turns repositories into wikis in seconds, saving countless hours of manual work. No more struggling to keep documentation up-to-date.
• AI-Powered Code Analysis: Intelligently analyzes code structure and relationships, offering a deeper understanding of your projects with its robust AI.
• Visual Explanations: Creates automatic Mermaid diagrams to effectively visualize architecture, data flow, and code relationships. Understanding your code has never been easier with visual aids.
• Easy Navigation: Presents a simple, intuitive interface to explore the generated wiki, streamlining knowledge sharing and collaboration.

DeepWiki Features: Making Documentation a Breeze

DeepWiki provides a comprehensive set of features designed to make code documentation and exploration intuitive:

• Intelligent Analysis: DeepWiki employs advanced AI to understand code structure and relationships, going beyond simple keyword extraction.
• Automatic Diagram Generation: The tool automatically generates Mermaid diagrams, visualizing architecture and data flow for clearer understanding.
• Quick Start: Integrates into your workflow with easy setup instructions via Docker or manual configuration.
• Comprehensive Documentation: Save time by avoiding tedious documentation tasks--create comprehensive documentation for any GitHub or GitLab repo.

Getting Started: Two Simple Installation Options

DeepWiki offers two straightforward installation methods to suit your preferences.

Option 1: Docker (Recommended)

This is the fastest and easiest way to get DeepWiki up and running!

1. Clone the Repository:

   git clone https://github.com/AsyncFuncAI/deepwiki-open.git
   cd deepwiki-open
   

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2. Set Up API Keys: Create a .env file in your project directory:

   echo "GOOGLE_API_KEY=your_google_api_key" > .env
   echo "OPENAI_API_KEY=your_openai_api_key" >> .env
   

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3. Run with Docker Compose:

   docker-compose up
   

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Option 2: Manual Setup

For those who prefer a more hands-on approach:

1. Set Up Your API Keys: Same as step 2 in Option 1. You'll need both a Google API key (from Google AI Studio) and an OpenAI API key (from OpenAI Platform).

2. Start the Backend:

   pip install -r api/requirements.txt
   python -m api.main
   

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3. Start the Frontend:

   npm install # or yarn install
   npm run dev  # or yarn dev
   

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4. Use DeepWiki! Open http://localhost:3000 in your browser and enter a GitHub or GitLab repository URL.

How DeepWiki Works: The AI-Powered Process

DeepWiki leverages AI in several key stages:

1. Repository Cloning and Analysis: The selected repository is cloned, and DeepWiki analyzes the code structure to understand its organization.
2. Code Embedding Creation: AI creates embeddings of the code, allowing for semantic understanding and smart retrieval of relevant information.
3. Context-Aware Documentation Generation: AI generates documentation, providing context-aware explanations of the code.
4. Visual Diagram Creation: DeepWiki creates visual diagrams to explain code relationships and data flow.
5. Wiki Organization: The generated documentation and diagrams are then organized into a structured and interactive wiki.

Troubleshooting Common Issues

Encountering problems? Here's a quick guide to common issues and solutions:

• API Key Issues: Double-check that your .env file exists in the correct location and contains the complete API keys without extra spaces.
• Connection Problems: Ensure the API server is running on port 8001. If you encounter CORS errors, try running both the frontend and backend on the same machine.
• Generation Issues: For very large repositories, try a smaller one initially or ensure that the repository format is valid. If diagram rendering fails, the app will attempt automatic fixes.

Contributing to DeepWiki

Contribute to the project by opening issues for bug reports, suggesting new features, or submitting pull requests. Or share your feedback and ideas with the community!

By leveraging DeepWiki's AI-powered automation, you can dramatically improve your documentation workflow, enhance code understanding, and foster better collaboration within your team.