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Benchmark rankings for multilingual embedding models are severely compromised by dataset scarcity, with many relying on a single source, which could mislead evaluations.
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.
