I want to build a travel app that suggests destinations to users. Which AI model from Hugging Face should I use for this?
For a travel recommendation system, I’d start with an embedding model rather than a full LLM. Models like BAAI/bge-m3 or Qwen/Qwen3-Embedding-0.6B could be good starting points for matching user preferences with destinations.
You could embed things like destination descriptions, activities, budget, climate, etc., then rank the most relevant destinations. For a multilingual app, I’d also consider a multilingual embedding model.
The best choice will depend on your dataset and languages, so I’d test a few models on your actual recommendation data.