Folders and files
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- 📖 Table of Contents
- ⭐️ Key Features
- 💡 Idea (Experiment)
- 💻 Setup
- 1. Kaggle (Recommended)
- 2. Local
- 🌟 Star History
- Easy to run on Local or Kaggle (new)
- Using any model from Huggingface and Ollama
- Process multiple PDF inputs.
- Chat with multiples languages (Coming soon).
- Simple UI with Gradio.
- Import notebooks/kaggle.ipynb to Kaggle
- Replace <YOUR_NGROK_TOKEN> with your tokens.
git clone https://github.com/datvodinh/rag-chatbot.git
cd rag-chatbotcurl -LsSf https://astral.sh/uv/install.sh | shMake sure ~/.local/bin (default install location) is on your PATH.
docker compose up --buildbash ./scripts/install_extra.sh-
MacOS, Window: Download
-
Linux
curl -fsSL https://ollama.com/install.sh | sh- Macos
brew install ngrok/ngrok/ngrok- Linux
curl -s https://ngrok-agent.s3.amazonaws.com/ngrok.asc \
| sudo tee /etc/apt/trusted.gpg.d/ngrok.asc >/dev/null \
&& echo "deb https://ngrok-agent.s3.amazonaws.com buster main" \
| sudo tee /etc/apt/sources.list.d/ngrok.list \
&& sudo apt update \
&& sudo apt install ngrokuv sync --lockedbash ./scripts/run.shor
uv run python -m rag_chatbot --host localhost- Using Ngrok
bash ./scripts/run.sh --ngrok