Generative search engine text documents
Topics: Freshness, LLMO / GEO, Microsoft, Passage based retrieval, Ranking, Reranking, Retrieval Augmented Generation (RAG), Search Intent, Search Query Processing
This patent describes a system developed by Microsoft that uses generative AI models to dynamically build text-based documents in response to search queries. Instead of simply returning a list of links, the system analyzes the user’s search intent, identifies relevant topics, curates content from search results with linked citations, and produces a comprehensive generative text document featuring a direct answer followed by organized topic sections. The goal is to deliver more streamlined, accurate, and comprehensible answers to users while reducing the effort needed to sift through traditional search engine results.
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