🚀 Building the Next-Gen Agentic App with GraphRAG & NVIDIA cuGraph

Unleash the Power of Graph for Intelligent, Adaptive AI

Welcome to the most cutting-edge AI Hackathon where Agentic Applications, GraphRAG, ArangoDB, and NVIDIA GPU-accelerated graph analytics converge to redefine GenAI-powered business solutions.

🚀 Event Details

📅 Event Dates: Feb 10, 2025 - Mar 9, 2025
📝 Registration Dates: Feb 10, 2025 - Mar 9, 2025
🔗 Registration Link: Sign up here

🏆 Prizes - $29,750 in Rewards!

🥇 First Place – $15,000 + ArangoDB Blog Feature
🥈 Second Place – $7,500 + ArangoDB Blog Feature
🥉 Third Place – $5,000 + ArangoDB Blog Feature
🏅 Honorable Mention (2 Winners) – $750 each + Blog Feature
🏆 Public Choice Award – $750 + Blog Feature

🔥 Why GraphRAG?

Traditional RAG systems rely on vector-based retrieval, which can lead to hallucinations, fragmented context, and limited reasoning. GraphRAG enhances retrieval by integrating graph-based context, preserving relationships between entities, and enabling structured, accurate AI-generated responses.

By leveraging GraphRAG, you can:
✅ Minimize hallucinations
✅ Improve knowledge retrieval
✅ Enhance AI-generated insights

Microsoft has already recognized GraphRAG as the next evolution in GenAI—this is your chance to lead the revolution!

🎯 Your Mission

Build an Agentic Application that integrates GraphRAG and GPU-accelerated graph analytics to solve a real-world problem.

🛠 Hackathon Steps:

1️⃣ Choose a Dataset – Use your own or select from ArangoDB’s provided datasets.
2️⃣ Convert & Load Data into NetworkX – If not already a graph, transform it into a node-edge structure.
3️⃣ Persist Graph in ArangoDB – Store & manage data efficiently using ArangoGraph.
4️⃣ Build an Agentic App – Process natural language queries using LangGraph, LangChain & hybrid query execution.
5️⃣ Submit Your Solution – GitHub Repo + YouTube Video.

📂 Supported Datasets

📌 Bring Your Own Data (BYOD) – Use open datasets relevant to industries like social networks, cybersecurity, supply chain, healthcare, transportation, etc.
📌 ArangoDB-Provided Datasets – Pre-configured for instant graph analytics:

Synthea (Medical)
Common Vulnerability Exposures (Cybersecurity)
Flights (Transportation)
GDELT Open Intelligence (Geopolitical)

📌 Judging Criteria

✅ Innovation – How original and impactful is the solution?
✅ Functionality – Does the Agentic App handle queries effectively?
✅ Technical Excellence – Effective use of AQL, LangChain, and cuGraph?
✅ Usability – Is the app intuitive with clear visualizations?
✅ Documentation & Presentation – Is the submission well-documented with a compelling video?