This repository contains a context graph system that integrates fragmented SAP Order-to-Cash data into an interactive knowledge graph. It features a natural language query interface powered by Groq's LLaMA 3.3 70B, built with TypeScript, Python, JavaScript, and CSS.
From the README
QueryGraph — LLM-Powered SAP O2C Intelligence A context graph system that unifies fragmented SAP Order-to-Cash data into an interactive knowledge graph with a natural language query interface powered by Groq's LLaMA 3.3 70B. Live Demo: https://query-graph-llm-powered-data-intell.vercel.app/ Backend API: https://querygraph-llm-powered-data-intelligence.onrender.com GitHub: https://github.com/SahilArate/QueryGraph-LLM-Powered-Data-Intelligence --- What This Builds In real SAP environments, business data is fragmented across dozens of tables — orders, deliveries, invoices, payments — with no unified way to trace how they connect. This system solves that by: 1. Unifying the SAP O2C...
Skills
- TypeScript
- Python
- JavaScript
- CSS
- Procfile
