Congrats on the achievement. One trick part when working on "planet-scale" is parsing and matching the results for multiple countries. I tried some addresses i

Congrats on the achievement. One trick part when working on "planet-scale" is parsing and matching the results for multiple countries. I tried some addresses in Brazil without success. Queries like "Starbucks Sao Paulo" return some results but addresses like "Avenida Paulista 100" (or its variations) don't. Last time I looked (~2018) pelias-parser used some ML training and the results weren't very good for Brazil. I'm guessing in 2024, an open-source fine tuned LLM would do a good job?