QA-system

Question and answer system

The Question and Answer System is a system that combines LangChain and Large Language Models, such as OpenAI's GPT-3, and uses React/TypeScript for the frontend and Python FastAPI for the backend. Qdrant is used to store embeddings and text documents for fast search.

📚 Documentation and Resources

• FastAPI Documentation
• React Documentation
• Typescript Documentation
• Qdrant Documentation
• LangChain Documentation
• Application Source Repository

💻 How to Run

1. Clone the repository from GitHub using the following command:

git clone https://github.com/conect2ai/carbot-manual-compare.git

2. Create an account on Qdrant Cloud to get yourAPI_KEY and HOST_URL.

3. Create an account on OpenAi API. ou will need OpenAI credits to run the application, and in general, new users get $5 credits to test the API. This is enough to run the application.

4. Create an API key in the OpenAI API. To do this, click on the View API keys option and create a new API key. Copy the OPENAI_API_KEY value from the key that was created.

5. Go to /backend/app and create a .env file with the following structure, replacing <YOUR_KEY> with your key:

QDRANT_HOST="<YOUR_KEY>"
QDRANT_API_KEY="<YOUR_KEY>"
OPENAI_API_KEY="<YOUR_KEY>"

6. Still at /backend/app, create a virtual environment, and execute the following commands:

pip install -r requirements.txt
python main.py

7. In other terminal, go to /frontend and execute the following commands to run the frontend:

npm install
npm start

With this, the application will run and can be accessed at localhost:3000