Generative Search Documents for Accurate Query Answers
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Solution Overview
Problem
Current search result systems face challenges in providing prompt and accurate query responses due to the ever-growing amount of available information, requiring significant user effort and lacking in efficiency and relevance.
Innovation Solution
A generative document system utilizing generative AI models to dynamically build and provide generative text documents that include directed answers and curated topic sections, leveraging multiple prompts and outputs to enhance accuracy, efficiency, and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional search systems retrieve and present lists of links and resources, then users can access information, but the system requires significant user effort and provides limited useful and relevant answers
Solution Approach 1:
The patent replaces traditional mechanical search result presentation (lists of links requiring manual browsing) with generative AI-based natural language synthesis. The system automatically processes search results and generates human-readable text documents that directly answer user queries, eliminating the need for users to manually navigate through multiple links and resources.
Solution Approach 2:
The system enables self-service by having the search engine automatically curate, process, and synthesize information from multiple sources into coherent text documents. The generative AI models autonomously determine which information is most relevant and how to present it, without requiring user intervention or manual selection of sources.
2Quantity of substance
If the number of accessible resources continues to grow, then more information is available, but existing systems face technical challenges in providing prompt and accurate query responses
Solution Approach 1:
The patent extracts and filters only the most relevant information from the vast amount of available resources using generative AI models. Instead of processing all accessible resources, the system intelligently identifies and extracts only the critical information needed to answer the query, significantly reducing processing time while maintaining accuracy.
Solution Approach 2:
The system performs preliminary processing and filtering of information before generating final responses. By pre-processing and ranking potential sources based on relevance and reliability, the system prepares only the essential information for synthesis, enabling faster response times even as the total quantity of available resources grows.
3Productivity
If existing search systems provide lists of links and direct answers, then users can find information, but the systems lack efficiency and relevance in processing the ever-growing amount of available information
Solution Approach 1:
The patent merges and synthesizes information from multiple diverse sources into unified text documents. The generative AI models integrate insights from various resources, resolving conflicts and synthesizing coherent narratives that provide both efficiency and relevance, overcoming the limitations of simply presenting separate links and answers.
Solution Approach 2:
The system changes the fundamental parameter of information presentation from discrete links and structured answers to continuous natural language text. This parameter change enables the system to process and present information more efficiently, adapting the format to better match user needs and improve relevance assessment.
Data Source
AI summary
This disclosure describes utilizing a generative document system to dynamically build and provide generative text documents using one or more generative artificial intelligence (AI) models. For example, the generative document system efficiently utilizes various systems and one or more generative AI models to determine intents and topics, curate topic sections, and generate a generative text document that includes a directed answer along with select curated topic sections for search queries. In various implementations, the generative document system performs additional actions that enhance the efficiency and accuracy of operations used to produce generative text documents. Additionally, in many cases, these generative text documents provide a foundation for providing an interactive, intuitive, wide-ranging, and flexible curation of answers to users that address the corresponding search queries.