Data Readiness - GenerationAI Hackathon - MCP Integration for Graph DBs
AI Tinkerers - Paris
Hackathon Showcase

Data Readiness

Team consisting of a Data Scientist (Flavorcloud) building production GenAI systems using GraphRAG, LLMs, NLP, Python, and AWS/GCP.

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Data Readiness transforms any form of data into actionable knowledge. Whether the inputs are PDFs, documents, tables, or invoices, they are converted into structured Knowledge Graphs. These graphs integrate seamlessly with large language models to enable accurate generation and conversational experiences. They also support efficient fine-tuning of smaller models through knowledge distillation, ensuring organizations unlock deeper insights, improve automation, and leverage their information with greater precision across diverse workflows and decision-making scenarios to drive value continuously

The Project started with OCR problem i was trying to solve to extract content from pdfs, and i was like what if i translate that into knowledge graphs for multipurpose use.

AI Tinkerers Neo4j OCR OpenAI