RAG_based_Rehabilitation_System

1. How to setup before running.

a. Pull the respitory

cd /path/to/your/directory  
git clone https://github.com/Corleone-Yang/RAG_based_Rehabilitation_System.git

b. Create the environment and activate

Mac:

python3.9.12 -m venv .venv
source venv/bin/activate

Windows:

python3.9.12 -m venv .venv
.\venv\Scripts\activate

c. Download the requirements

pip install -r requirements.txt

d. set .env

OPENAI_API_KEY='your_openai_key'

e. run

flask run

2. How to use this app

a. open Your Localhost Address, the default port is Port 5000.

b. The HomePage

For Doctor's Notes Upload, You should upload the important documents here. For Daily Conditions Submit, You can submit your daily conditions here. For Suggestions Generate, You can ask questions.

c. The Dashboard

• Here you can check the memory record and clean all memory.
• You can also check the indexing result for the query in vector database. This list contains the locations of the five answers that are closest to our question.

d. The Result

Here you can get the response form the RAG system and OpenAI prompt generation. Off courese you can test different LLMs like llama3 from huggingface or LangChain API.