System and method for collaborative knowledge management pruning using large language models

A non-transitory computer-readable medium having program code recorded thereon for collaborative knowledge management pruning, the program code being executed by a processor and comprising:

• program code to feed, in response to a user search request, retrieved articles from an enterprise knowledge database to a large language model (LLM);
• program code to perform, by the LLM, a hierarchical search-based comparison of the retrieved articles according to a technical subject-matter-specific LLM understanding based on previous chain-of-reasoning prompting to provide an LLM-based identification of flagged contradictory articles;
• program code to mark confirmed contradictory articles having a later origination date for human pruning review;
• program code to automatically remove out-of-date, confirmed contradictory articles having an earlier origination date from the enterprise knowledge database;
• program code to remove, in response to the user, marked, contradictory articles from the enterprise knowledge database;
• and
• program code to update, through subsequent chain of reasoning prompting, the technical subject-matter-specific LLM understanding of the enterprise knowledge database when the user determines a contradictory article warning is inaccurate.

A system for collaborative knowledge management pruning, the system comprising:

• a search request monitor module to feed, in response to a user search request, retrieved articles from an enterprise knowledge database to a large language model (LLM);
• an LLM search-based comparison model to perform a hierarchical search-based comparison of the retrieved articles according to a technical subject-matter-specific LLM understanding based on previous chain-of-reasoning prompting to provide an LLM-based identification of flagged contradictory articles;
• and
• an out-of-date document pruning module to automatically remove out-of-date, confirmed contradictory articles having an earlier origination date from the enterprise knowledge database and to remove, in response to the user, marked, contradictory articles from the enterprise knowledge database and to update, through subsequent chain of reasoning prompting, the technical subject-matter-specific LLM understanding of the enterprise knowledge database when the user determines a contradictory article warning is inaccurate.