The Problem Every Django Developer Knows

You have a Django app with years of data — products, articles, orders, users. Your users type natural language queries into a search box and get either nothing or keyword-matched garbage.

Worse: you want to connect an AI agent that can answer questions about this data. But everything is locked inside relational tables. To feed it to an LLM, you either dump the database, write custom ETL pipelines, or stand up a separate vector store and manually keep it in sync with your ORM.

I ran into exactly this problem. So I built a library that solves it with one config file.

The Gap Between Django ORM and AI