A regulatory knowledge assistant built for an enterprise company, helping users ask questions across a knowledge base of more than 50 regulatory documents.
RAG
Knowledge retrieval
50+ documents
Concept preview — an illustrative interface created for this portfolio, using sample content.
The project
Overview
I built a regulatory RAG system for an enterprise company. The project brings more than 50 regulatory documents into a searchable knowledge base. Users ask a question in plain language, and the system uses retrieval-augmented generation (RAG) to find relevant material and use it as context for a response. The goal is to make regulatory information easier to find without manually searching through each document.
What it does
Ask regulatory questions in natural language.
Search a knowledge base of more than 50 regulatory documents.
Retrieve relevant document passages to provide context for an AI-generated response.
Bring document search and question answering into one workflow.
