Unlock the Next Frontier of Intelligent Systems With Knowledge Graphs + AI
Transform the way we understand and interact with data by bridging the gap between knowledge graphs and artificial intelligence. The Hypermode Knowledge Graph + AI Challenge is your opportunity to revolutionize how intelligent systems process, connect, and derive insights.
Why Knowledge Graphs + AI
GenAI models still struggle with domain-specific knowledge. Traditional RAG partially solves the problem, but human language is not deterministic. As such, many AI apps fall well short of their promise and hallucinate frequently.
Knowledge graphs and GraphRAG are quickly becoming the best-in-class practice for creating shared understanding between humans and AI.
Tools like Neo4j and Dgraph provide a semantic layer that allows AI systems to understand relationships, context, and nuance in ways traditional databases cannot enable. This unlocks agentic workflows, where your agent has a dramatically better sense of what models, tools, and data to call because of it understands your data relationships.
Knowledge graphs provide the missing link - a powerful framework that maps out intricate relationships between data points, enabling AI to:
Improve Reasoning Capabilities: Create AI systems that can navigate complex logical connections
Provide More Transparent Decision-Making: Trace the reasoning path of AI models with clear, interpretable connections
Modus: The Open Source Framework For Building Model-Native Apps With Knowledge Graphs
The Modus framework now enables seamless interaction between AI models and Dgraph and/or Neo4j knowledge graphs, allowing developers to:
Build context-aware AI applications with rich semantic understanding
Implement advanced GraphRAG patterns
Create more intelligent, relationship-driven AI agents
Leverage the full power of graph-based data representation
The Challenge: Innovate at the Intersection of Data and Intelligence
We're calling on developers, data scientists, researchers, and innovators to demonstrate breakthrough applications that leverage knowledge graphs to supercharge AI performance across industries.
Potential Focus Areas
Healthcare: Connecting medical research, patient data, and treatment outcomes
Financial Services: Mapping complex economic networks and risk analysis
Scientific Research: Accelerating discovery by connecting disparate research insights
Enterprise Knowledge Management: Creating intelligent, interconnected information systems
What You'll Get
$10k USD total prize pool
Exposure to cutting-edge AI and knowledge graph technologies
Mentorship from leading experts in the field
Potential collaboration opportunities with Hypermode
Who Should Participate
AI Engineers wanting to leverage knowledge graphs in their AI apps
Product engineers looking to add AI-backed features to their apps
Data scientists, machine learning engineers, research academics, software developers, and AI enthusiasts
