A simple, containerized GPT-powered web apllication allowing you to query your own PDF file. Uses streamlit for UI, ChromaDB to store embeddings and langchain.

1. Create .env file in root directory of the project with the following contents. Replace OpenAI key with your own.

OPENAI_API_KEY="YOUR_API_KEY"

2. Run docker compose in detached mode docker-compose up -d
3. Open http://localhost:8000

1. Loads file using streamlit
2. Splits pdf into chunks using langchain splitter
3. Generates embeddings using text-embedding-ada-002
4. Stores embeddings in an in-memory instance of ChromaDB vector database
5. Runs a RAG chain that will rertieve relevant splits and adds them to the context of the final prompt

The app leverages Retrieval-augmented generation (RAG). More info can be found here