Optimizing Historical Knowledge Retrieval: Leveraging an LLM for Content Cleanup

  The Challenge Enterprise Knowledge (EK) recently worked with a Federally Funded Research and Development Center (FFRDC) that was having difficulty retrieving relevant content in a large volume of archival scientific papers. Researchers were burdened with excessive search times and the potential for knowledge loss when target documents could not be found at all. To learn more about the client’s use case and EK’s initial strategy, please see the first blog in the Optimizing Historical Knowledge Retrieval series: Standardizing Metadata for Enhanced Research Access. To make these research papers more discoverable, part of EK’s solution was to add “about-ness” tags to the document metadata through a classification process. Many of the files in this document management system (DMS) were lower quality PDF scans of older documents, such as typewritten papers and pre-digital technical reports that often included handwritten annotations.