Configuring a large language model to convert natural language queries to structured queries
Topics: LLMO / GEO, Microsoft, Query Fan Out, Retrieval Augmented Generation (RAG)
This Microsoft patent describes a system that uses large language models (LLMs) to automatically convert plain, everyday language search queries into structured, filter-based search queries. It does so by first training one LLM to generate diverse natural language versions of structured queries, then using those pairs to fine-tune a second LLM that can translate any user’s natural language input into the precise structured format a search engine needs to retrieve relevant results — without requiring the user to manually select filters.
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