11 results about "Search engine query" patented technology

The invention relates to a method and system for relieving large model illusion, and belongs to the technical field of computers. The method comprises the following steps: identifying and analyzing the intention of a question input by a user through a first-level agent, and judging whether an answer is obtained by calling a local knowledge base, a search engine or the capability of a large model; if a search engine is called, pulling the question through a first-level agent, and inputting the content of each webpage, website information, the question input by the user and a prompt cue word into a large model to obtain an answer, wherein the previous set number of webpages are related to the content inquired by the search engine; if a local knowledge base is called, analyzing the question through a secondary agent and generating a query instruction corresponding to the question, performing interactive query with professional databases of industries to which at least two questions with different query modes belong through the query instruction to obtain a query result, and inputting the question input by a user, a prompt prompt word and the query result into a large model to obtain an answer; if the capacity of the large model is called, an answer is obtained through the large model according to the question.

System comprising one or more computers and one or more storage devices that store instructions which, when executed by the one or more computers, cause the one or more computers to perform operations that include: Obtaining query data that constitutes a question; Generating a search engine query for a search engine from the query data; Obtaining a large number of documents identified by the search engine in response to processing the search engine query; Generating a multitude of conditioning inputs, each representing at least one section of one or more of the obtained documents, from the multitude of documents; for each conditioning input generated from a multitude of inputs, processing a network input generated from (i) the question data and (ii) the conditioning input using a neural network to produce a network output that represents a candidate response to the question; and Generating response data that represents a final answer to the question from the network outputs representing the respective candidate responses.

A data processing system for searching network requests to extract values of parameters in the network requests includes a shared memory that stores data structures, wherein each of the data structures is stored in association with a value of a key, and wherein each of the data structures includes one or more entries for storage of data representing a network request. A parser engine parses a particular network request for values of parameters and for a value of a key. A search engine queries the shared memory for a particular data structure stored in association with the value of the key. A logic engine detects an absence of a particular entry, in the particular data structure, that stores data representing the particular network request, generates an entry in the particular data structure, and stores in the generated entry the values of the parameters.

The present application relates to the technical field of hotspot technology evaluation, and particularly relates to a hotspot technology evaluation method, device and equipment based on generative artificial intelligence, which responds to a hotspot technology keyword, queries technical literature corresponding to the hotspot technology keyword and metric data corresponding to the technical literature through a target search engine; analyzes an importance centrality index of the hotspot technology keyword compared to the technical literature through a preset importance evaluation model; calculates hotness data of the technical literature according to the importance centrality index and the metric data; generates a hotspot technology hotness data change curve based on the hotness data; performs hotspot technology prediction evaluation based on the hotspot technology hotness data change curve, and generates a hotspot technology evaluation report, which analyzes a hotspot technology keyword input by a user through a generative artificial intelligence model, and provides efficient hotspot technology analysis results.

The invention discloses a tool function calling method, device and equipment and a computer readable storage medium. The method comprises the steps that cue words and tool function query conditions are obtained; when the tool function query condition contains a target function identification code, querying target tool function information from a search engine according to the target function identification code; when the tool function query condition only contains target grouping information, querying target tool function information from a search engine according to the cue word and the target grouping information; generating calling configuration information according to the target tool function information; and performing large language model reasoning based on the cue word and the calling configuration information. According to the method and the device, the calling configuration information is dynamically generated based on the tool function query condition and the cue word, so that on-demand calling of the tool function is realized during large language model reasoning.

The application discloses a kind of methods for converting patent search expression into search engine query statement, comprising: obtaining the patent search expression to be processed;Utilize the pre-constructed tokenizer to parse the string corresponding to the patent search expression, obtain the multiple tokens parsed;Based on the syntax structure of patent search expression, the multiple tokens are processed into the list of standard syntax nodes;According to the list of standard syntax nodes, generate standard syntax tree;Utilize the pre-constructed, and the syntax converter matched with target search engine, convert standard syntax tree into the query statement of target search engine.Wherein, patent search expression, tokenizer is constructed based on the extensible syntax structure of pre-defined patent search expression.This application can convert patent search expression into the query statement of corresponding search engine, can be applicable to a variety of search engines, can realize patent data heterogeneous search, can adapt to different data format and data storage mode, and the adaptability and scalability are high.

The embodiment of the invention provides a to-be-processed work order optimization method and system. According to the method, firstly, corresponding to-be-handled models are created for to-be-handled work order types, index fields covering necessary information are configured for all the models, and it is ensured that data storage is adaptive to efficient query; thirdly, designing an exclusive target interface for each work order type, and establishing a precise data interaction channel; secondly, writing the data into a database, and asynchronously writing the data into a search engine with a data writing function to lay a data foundation for efficient query; then, the query source logic of the to-be-optimized application page is changed into search engine query from database query, so that migration of a query mode is achieved; and finally, configuring a system main switch and each work order type independent switch, performing database query during default closing and performing search engine query during opening, and greatly reducing database query pressure by virtue of strong full-text search and real-time analysis capabilities of a search engine while flexible switching is performed, so that the query efficiency is remarkably improved.

This disclosure describes a query gateway system that provides an efficient and flexible framework for providing context-retained autosuggest queries from an autosuggest query system (e.g., a search engine query experience) to a generative language model system (e.g., an AI chat experience). For instance, the query gateway system establishes a framework to leverage the features and services of the autosuggest query system and automatically provides context-retained queries to the generative language model system using separate user interfaces that do not disrupt user navigation or require manual duplicative user input. Additionally, the query gateway system incorporates additional enhancements, including an AI chat eligibility model and a query reformulation model, to improve the computational efficiency and accuracy of the AI chat system.

The invention provides a business query method and device, equipment, a medium and a program product, relates to the technical field of computers, and can solve the problems of low data synchronization efficiency and low overall resource utilization rate of a system during business query. According to the specific technical scheme, the method comprises the steps of storing structured service data of a service system in a target database; periodically initiating query to a target database through a data synchronization service in the business system to obtain the changed structured business data to obtain change information; packaging the change information into preset format data through data synchronization service, and sending the preset format data to a target search engine; updating an unstructured business data index in the target search engine according to the preset format data; and through the target search engine, based on the updated unstructured business data index, querying to obtain a business data record set corresponding to a query request of the client, and returning the business data record set to the client. The method is used for performing fuzzy query on service data.

A computer-implemented method for improving search engine queries comprising the steps of: a. receiving a text corpus, b. determining a list of n-gram candidates, each n-gram candidate being a series of consecutive words of the text corpus, the number of consecutive words in the series being an integer n greater than or equal to 2, c. modifying the text corpus based at least partly on the list of n-gram candidates, d. performing a machine learning embedding on the resulting text corpus, e. for each element of the list of n-gram candidates, computing a score based on the embedding of the element and the embeddings of the words constituting the element, f. adding one or more of the n-gram candidates to a list of search engine query items based on their respective scores.

This invention discloses a search engine query processing method and apparatus. The method includes: receiving query code; the query code comprising a custom data structure composed of multiple predefined functions; the predefined functions including query type functions, aggregation functions, and logical type functions; the custom data structure encoding multiple sub-queries in a nested manner; converting the query code into a structured message based on the custom data structure; translating the structured message into a query language according to search engine language specifications; and requesting query results from the search engine using the query language to obtain the query results returned by the search engine. This invention can improve query processing efficiency and reduce redundant code development.