Basic Rag App

This app is created without use of any llm framework.

Library / Packages used

• Numpy (for vector operations)
• FAISS-CPU (as vector search engine)
• typing (for type hinting)
• python-dotenv (for loading environment variables)

How to install and run

• run command pip install -r requirements.txt or uv venv && uv sync
• rename env.sample file in root directory to .env
• update .env file with your own api key values
• run command uv run streamlit run app.py
• open url in browser http://localhost:8501
• Dockerfile also present if want to use Docker for deployment.

How to deply on AWS Elastic Beanstalk

• Create a zip file of the project after removing:
  • .venv
  • .git
  • .idea
  • .ruff
• Add Env variable inside your Elastic Beanstalk Environment configuration
• upload zip file to Elastic Beanstalk Environment

Post Deployment picture