RAG based app is created for financial literacy. This project utilises Gemini LLM, Langchain, and Qdrant.

1. Setup and Install Docker
2. Create a docker container for qdrant/qdrant and run at port 6333:6333
3. Create a venv and Install dependencies using requirements.txt
4. create a .env file and mention your Gemini API key in it.
5. Then run python files:

a. ingest.py, and check the database at http://localhost:6333/dashboard

b. retriever.py

c. Run uvicorn rag:app command on CLI, it will prompt you to go to http://127.0.0.1:8000/

The templates folder contains html based front-end part.

The Data folder contains sample pdfs, more data can be added to it, based on which the FinnoRAG will answer the user's query.