Tome Eftimov

Forget relying on just ingredients: this method shows how fusing semantic, lexical, and nutritional aspects significantly improves recipe similarity estimation, aligning more closely with expert judgment.

LLMs can drastically reduce manual effort for domain experts in accessing complex food and nutrition data via RAG, but still struggle with queries that exceed the representational scope of the metadata.

Forget expensive fine-tuning: FoodOntoRAG links food entities with near SOTA accuracy while adapting to evolving ontologies using a clever RAG architecture with retrieval, selection, scoring, and synonym generation agents.