Keyword-Based Document Retrieval for Support Automation

The patent introduces a keyword-based intermediary layer between the analysis engine and knowledge documents. Instead of directly linking document identifiers to the analysis engine, keywords serve as a mediator that enables flexible matching. When diagnostic data is analyzed, extracted keywords are used to search for relevant documents, allowing the system to adapt when documents are updated or removed while maintaining identification accuracy through semantic similarity.

The patent changes the fundamental parameter for document identification from fixed document identifiers to flexible keyword-based matching. This parameter change allows the system to maintain document relevance without requiring frequent updates to the analysis engine. When documents are updated or removed, the keyword-based search automatically adapts to the current document state, eliminating the need for manual reconfiguration of the analysis engine.

The patent enables the system to self-update when new documents are added. The keyword extraction and search functionality automatically detects and incorporates new knowledge documents without requiring manual intervention or reconfiguration of the analysis engine. This self-service capability maintains high productivity while expanding knowledge coverage, as the system autonomously adapts to the evolving knowledge base.