Knowledge graph of restaurants and chefs, built using LLMs

Show HN: Knowledge graph of restaurants and chefs, built using LLMs

Based, Knowledge graph of restaurants and chefs, built using LLMs works in show hn launch.

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Hi HN!My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text.Some technical aspects you may be interested in:- Used structured generation to reliably parse unstructured text into a consistent schema- Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction- Created an interactive visualization using gephi-lite and Retina (WebGL)- Built (with Claude) a simple Flask web app to clean and deduplicate the data- Total cost for inferencing 2000 reviews with gpt4o-mini: less than 1€!You can explore

The company sits in the show hn launch segment, where it competes on its core product or service.

Its current recorded stage is Show HN launch.

Website: theophilecantelob.re/blog/2025/foudinge