AI Search Drift Detection and monitoring system

Python application that measures drift on a models responses to user queries.

This python application is a framework for drift detection on an LLM and consequential messaging for low tensors scores.

Stack:
>sentence-transformers
>fastapi
>psychopg2
>postgresql
>tbd messaging service
>next.js
>tailwind

Note: Current build does not use an LLM and does not directly take user queries, instead it is placeholder for the end to end process being established in an mvp.'

Todo: messaging, docker container, implement next.js and tailwind, drift data viz, add actual llm to detect drift against

to use:

uvicorn app.main:app --reload

load:

http://127.0.0.1:8000

returns

{"message": "Welcome to the AI Search Drift Measuring API!"}