LLM – Driven Data Extraction

Customer

Swiss Chemical Company

Converting semi-structured recipes and flavor data into a more accessible database format to improve selection procedures

Challenge

  • Poor application of recipe data due to inconsistent formats (un- to semi-structured) 
  • Converge data points to one format and make available in one database, with thousands of files in scope

Solution

  • Developed a prompt workflow to extract relevant data from internally deployed GPT instances and transfer it into a document database
  • Developed a streamlit app and workflow for human validation and corrections to improve the quality of extraction
  • Simplifying the validation workflow and postprocessing of the extracted data

Business Impact

  • Integrated hundreds of existing recipes into a newly created database.
  • The database will be a milestone in the flavor division 
  • Opens up discovery of other ways for data capturing and integration that can be used in the future.
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