Automatic natural language search interface method and apparatus
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Solution Overview
Problem
Current systems require expertise in structured query languages to access digital data, limiting accessibility and posing a barrier to effective data retrieval.
Innovation Solution
A natural language interface that translates user input into a system-independent logical expression, using a deep learning model to generate queries for various data management systems, enabling feedback mechanisms for tuning and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If structured query language is used to access digital data, then data retrieval capability is improved, but user accessibility deteriorates due to expertise requirements
Solution Approach 1:
The patent introduces a natural language processing component as an intermediary between the user and the structured query language system. This component translates user-friendly natural language queries into the required structured query language, allowing users to access data without learning complex query syntax while maintaining reliable data retrieval capabilities
Solution Approach 2:
The patent replaces the mechanical requirement of learning and typing structured query language syntax with an automated natural language processing system. Users simply speak or type natural language queries, and the system automatically converts them into executable structured queries, eliminating the need for users to manually construct complex query statements
2Ease of operation
If natural language processing component is added to improve accessibility, then ease of operation is improved, but system complexity increases
Solution Approach 1:
The patent designs the natural language processing component to handle multiple query types and data sources through a single unified interface. The system can process various natural language inputs and generate appropriate structured queries for different data management systems, reducing the need for multiple specialized components and thereby limiting the increase in system complexity
3Measurement precision
If system-specific natural language output is generated, then accuracy for that system is improved, but adaptability to other systems deteriorates
Solution Approach 1:
The patent segments the query processing into two independent stages: first, translating natural language to a standardized intermediate representation with high accuracy; second, converting the intermediate representation to system-specific query languages. This segmentation allows the translation accuracy to be optimized for each target system independently while maintaining a universal intermediate format
Data Source
AI summary
Techniques for a natural language interface for searching and retrieval of digitally-stored information are disclosed. In one embodiment, a computerized method is disclosed comprising receiving, at a computing device, natural language input from a user; generating, by the computing device, a prompt using the natural language input; submitting, by the computing device, the prompt to a large language model (LLM); receiving, by the computing device, from the LLM, a response to the submitted prompt, the response comprising a logical expression of the natural language input generated by the LLM using the prompt; generating, by the computing device, for a data source, a query using the logical expression; retrieving, by the computing device, a query result set from the data source using the query; and generating, by the computing device, a response to the natural language input using the query result set.