Installation

1. Create a pytohn env: python -m venv .venv/env_name
2. Install requirements: pip install -r requirements.txt
3. Add keys to config file:

{
    "chatbot": {
        "GOOGLE_API_KEY": "",
        "OPENAI_API_KEY":""
    }
}

4. Activate env: source .venv/env-name/bin/activate & .venv\env-name\Scripts\activate

Run flask-chatbot

execute python flask-chatbot/app.py

RAG Tool

• Qdrant Server:

1. Create your local storage for qdrant, e.g "/home/username/qdrant_data"
2. Run the server podman run -p 6333:6333 -v /home/username/qdrant_data:/qdrant/storage docker.io/qdrant/qdrant.

• Indexing:

1. Go to bot/rag_indexing
2. run python indexing.py [url]. For our example, url by https://lilianweng.github.io/posts/2023-06-23-agent/