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.
DocsGPT Live: Gen AI in business and Fine tuning models
You can find our Roadmap here, please don't hesitate contributing or creating issues, it helps us make DocsGPT better!
DocsGPT-7B Our finetuned model to help you keep your data private, fine-tuned on top on MPT-7b
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Application - flask app (main application)
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Extensions - chrome extension
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Scripts - script that creates similarity search index and store for other libraries.
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frontend - frontend in vite and
Note: Make sure you have docker installed
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Open dowload this repository with
git clone https://github.com/arc53/DocsGPT.git
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Create .env file in your root directory and set your OPENAI_API_KEY with your openai api key and VITE_API_STREAMING to true or false if you dont want streaming answers Should look like this inside
OPENAI_API_KEY=Yourkey VITE_API_STREAMING=true
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Run
docker-compose build && docker-compose up
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Navigate to http://localhost:5173/
To stop just run Ctrl + C
For development only 2 containers are used from docker-compose.yaml (by deleting all services except for redis and mongo). See file docker-compose-dev.yaml.
Run
docker compose -f docker-compose-dev.yaml build
docker compose -f docker-compose-dev.yaml up -d
Make sure you have Python 3.10 or 3.11 installed.
- Export required environment variables
export CELERY_BROKER_URL=redis://localhost:6379/0
export CELERY_RESULT_BACKEND=redis://localhost:6379/1
export MONGO_URI=mongodb://localhost:27017/docsgpt
- Prepare .env file
Copy
.env_sample
and create.env
with your OpenAI API token - (optional) Create a python virtual environment
python -m venv venv
. venv/bin/activate
- Change to
application/
subdir and install dependencies for the backend
cd application/
pip install -r requirements.txt
- Run the app
python wsgi.py
- Start worker with
celery -A app.celery worker -l INFO
Make sure you have Node version 16+
- Navigate to
/frontend
folder - Install dependencies
npm install
- Run the app
npm run dev
How to install the Chrome extension
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