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:
- Enhance Contextual Intelligence: Move beyond surface-level pattern recognition to deep, nuanced understanding
- 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
