We will be offering a challenge where users can get $200($100 from each company) for the most innovative and impactful GraphRAG challenge.

"Combine the strengths of vector search and graph databases to create powerful tools addressing societal issues, like crisis management, public health monitoring, or resource mapping. Show how integrating Qdrant vector capabilities with Neo4j’s graph database can enrich applications that foster social good."

Participants would start with the template from our example repo or build from scratch. https://github.com/qdrant/examples/tree/master/graphrag_neo4j

Requirements:

• Utilize both Qdrant and Neo4j.
• Demonstrate meaningful integration between graph structures and semantic vector search.
• Highlight how your solution positively impacts real-world social, environmental, or community challenges.

Prize($200):

Awarded for the most innovative and socially impactful application.