Abstract: A method for collaborative knowledge management pruning is described. The method includes feeding, in response to a user search request, retrieved articles from an enterprise knowledge database to a large language model (LLM). The method also includes performing, by the LLM, a hierarchical search-based comparison of the retrieved articles to provide an LLM-based identification of out-of-date articles. The method further includes flagging out-of-date articles for user review. The method also includes removing, in response to the user, identified out-of-date articles from the enterprise knowledge database.

Abstract: A method for automated root cause analysis via one or more structured data sources and one or more unstructured data sources includes identifying an error in a process or an environment. The method also includes searching the one or more unstructured data sources via a retrieval-augmented generation (RAG) component based on an error description corresponding to the identified error. The method further includes generating, via the RAG component, a hypothesis for the error in accordance with searching the one or more unstructured data sources. The method also includes searching the one or more structured data sources based on one or more queries generated via a text-to-SQL component in accordance with the hypothesis. The method still further includes autonomously adjusting one or more parameters of one or more devices associated with the process or the environment in accordance with searching the one or more structured data sources.

Abstract: A method for collaborative knowledge management pruning is described. The method includes feeding, in response to a user search request, retrieved articles from an enterprise knowledge database to a large language model (LLM). The method also includes performing, by the LLM, a hierarchical search-based comparison of the retrieved articles to provide an LLM-based identification of out-of-date articles. The method further includes flagging out-of-date articles for user review. The method also includes removing, in response to the user, identified out-of-date articles from the enterprise knowledge database.