How We Built a GraphRAG Chatbot for Enterprise Intelligence
How RUBICON's Two Layer Fixed Entity Architecture eliminated data bottlenecks for a multi team enterprise, delivering a conversational AI system that gives leadership instant project clarity, without hallucinations.
Technology stack
Technology
Neo4j, OpenAI API, FastAPI + Uvicorn, React + Vite, Python
Learn more about our Tech Stack
Neo4j - Graph database for native relationship traversal and multi hop queries that flat vector DBs can't support
OpenAI API - Natural language to Cypher translation and response synthesis
FastAPI + Uvicorn - Lightweight Python backend for low latency API serving
React + Vite - Fast component based frontend for the chat interface
Python - Data ingestion pipeline, text chunking, vector embedding generation
Quick facts
Region
USA
Industry
AI
Project duration
1 month
Team
RUBICON Engineers & Solution Architects