RAG Librarian

This RAG Librarian application parses a request from the end user via OpenAI's API and then uses a local vector database (ChromaDB in our case) to further refine the answer based on an already existing corpus of whitelisted literature.

Setup

In order to build and run the application you need to have docker installed and running, since it will be started from a local container, with all the dependencies self included.

After you clone the repository in any local folder of your choosing via:

git clone https://github.com/tudorian95/RAGLibrarian.git

Then open a terminal window in said folder and execute the following commands:

docker build -t raglibrarian .

docker run --rm -it -e OPENAI_API_KEY="insert-key-here" -e MODEL=gpt-5-nano -e PORT=8989 -e CHROMA_TELEMETRY_ENABLED=false -p 8989:8989 -v smartlib_chroma:/app/chroma_data raglibrarian

You need to provide an OpenAI API key in order to run the app via changing the insert-key-here part of the command with an actually valid key.

Also attached a localRagLib image to this repo in case you don't have an api key, just to show the app running

Access the application at: localhost:8989