DocsGPT 🦖

Open-Source Documentation Assistant

DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful GPT models, developers can easily ask questions about a project and receive accurate answers. Say goodbye to time-consuming manual searches, and let DocsGPT help you quickly find the information you need. Try it out and see how it revolutionizes your project documentation experience. Contribute to its development and be a part of the future of AI-powered assistance.

![example1](https://img.shields.io/github/stars/arc53/docsgpt?style=social) ![example2](https://img.shields.io/github/forks/arc53/docsgpt?style=social) ![example3](https://img.shields.io/github/license/arc53/docsgpt) ![example3](https://img.shields.io/discord/1070046503302877216)
image ## [Live preview](https://docsgpt.arc53.com/) ## Project structure application - flask app (main application) extensions - chrome extension scripts - script that creates similarity search index and store for other libraries ## QuickStart Please note: current vector database uses pandas Python documentation, thus responses will be related to it, if you want to use other docs please follow a guide below 1. Navigate to `/application` folder 2. Install dependencies `pip install -r requirements.txt` 3. Prepare .env file Copy .env_sample and create .env with your openai api token 4. Run the app `python app.py` [To install the Chrome extension](https://github.com/arc53/docsgpt/wiki#launch-chrome-extension) ## [Guides](https://github.com/arc53/docsgpt/wiki) ## [How to use any other documentation](https://github.com/arc53/docsgpt/wiki/How-to-train-on-other-documentation) Built with [🦜️🔗 LangChain](https://github.com/hwchase17/langchain) ## Roadmap - Good vectorDB scraping/parsing - Load vectors in UI from arc53 - Better UI - More prompts for other languages - Better parsing - Extensions for firefox - Extensions for Vscode