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# Gal Shubeli
AI engineer exploring graph-powered retrieval and multi-hop reasoning at FalkorDB.

## About

Gal Shubeli builds AI retrieval systems at FalkorDB. He focuses on GraphRAG, teaching large language models to reason accurately across connected data. By mapping knowledge as interconnected nodes, he helps models untangle complex, multi-hop inference tasks.

Before diving into graph databases, he developed computer vision and machine learning frameworks for medical ultrasound. He holds a master's degree in electrical engineering from Ben-Gurion University.



## Past Sessions

### World Congress 2026 Europe · July 8, 2026
Berlin, Germany
- [Scaling GraphRAG: Efficient Knowledge Retrieval for AI](https://www.wearedevelopers.com/videos/100025-scaling-graphrag-efficient-knowledge-retrieval-for-ai) · 30 min · 🎥 Watch recording



## Videos

- [Scaling GraphRAG: Efficient Knowledge Retrieval for AI](https://www.wearedevelopers.com/videos/100025-scaling-graphrag-efficient-knowledge-retrieval-for-ai) · Gal Shubeli


## Links

- [LinkedIn](https://www.linkedin.com/in/gal-shubeli)