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Dish Recommender

  • Connect to a weaviate collection in your weaviate cloud's sandbox, in this case FoodRecommend. There are two steps in this recommendation
    • Retrieval: Semantically search through the data wrt the query
    • Ranking: Use Gemini Flash API to rank the data

Steps to Run Locally

  • pip install -r requirements.txt
  • python api.py

Ensure that all environment variables are present, according to .env.sample

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Searches for food queried by user from a weaviate vector db and re ranks them using gemini

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