91results about How to "Improve retrieval efficiency" patented technology

The invention provides a data retrieval system and method based on a large language model and a readable storage medium. The system comprises a data analysis module, a multi-mode integration module, a semantic retrieval module and a post-processing module which are arranged in sequence. The data analysis module analyzes the original engineering data to generate structured data; the multi-modal integration module maps the structured data to the same semantic vector space to construct a vector database, and establishes a cross-modal association index to construct a multi-modal engineering knowledge graph; the semantic retrieval module is based on a large language model and a retrieval enhancement technology, responds to a natural language query of a user, retrieves related information from a vector database and a multi-modal engineering knowledge graph and generates answers; the post-processing module performs abstract generation on the natural language answers based on a large language model and generates associated recommendation content. According to the method, the query accuracy, the retrieval efficiency and the user query interaction experience can be remarkably improved; and the scheme reuse rate can be improved based on the recommended content.

The invention belongs to the technical field of search engines, and particularly relates to an optimized search engine construction method and system based on feature deep learning, and the system comprises a search operation unit, a monitoring and early warning unit and a management and control terminal, the search operation unit comprises a multi-dimensional semantic feature mining module, a user implicit intention analysis module, a deep feature fusion modeling module and a dynamic retrieval strategy generation module; a multi-dimensional semantic feature set and a user intention feature set are formed through a multi-dimensional semantic feature mining module and a user implicit intention analysis module, and a deep feature fusion modeling module performs deep fusion of data features and user intention features through an attention mechanism and cross validation optimization. The dynamic retrieval strategy generation module is used for providing high-quality feature support for retrieval strategy generation, the accuracy of retrieval results is guaranteed, the dynamic retrieval strategy generation module generates dynamic strategies adaptive to different requirements and data states on the basis of reinforcement learning, and the retrieval accuracy and retrieval efficiency of a search engine are remarkably improved.

The invention provides a multi-source security knowledge fusion driven security risk management large model construction method and application. The method comprises the following steps: constructing a campus security knowledge graph and a semantic vector database based on multi-modal campus security data; performing approximate nearest neighbor search in the semantic vector database based on user query to obtain context evidence related to the user query, splicing the context evidence with the user query to obtain a retrieval enhancement prompt, the user query being campus security risk information of any mode; and training based on the campus security knowledge graph to obtain a security risk management large model, and inputting the retrieval enhancement prompt into the security risk management large model to obtain a risk solution. According to the scheme, the attention confidence, the feed-forward network confidence and the knowledge alignment confidence of all levels are aggregated in the reasoning process to generate the comprehensive confidence score, so that the illusion problem caused by no data reference in the model reasoning process is effectively avoided.

The invention discloses a video content retrieval method and device based on television system voice interaction and a terminal, and relates to the technical field of video processing, and the method comprises the steps: when a video is played for the first time, extracting a picture frame from the video at a preset frequency, converting the picture frame into a multi-dimensional image feature vector and a corresponding video timestamp, and carrying out hierarchical storage in a database, constructing vectorized data containing visual semantic information; obtaining a voice retrieval instruction, performing intention recognition and semantic understanding, extracting a detection keyword, and generating a multi-dimensional retrieval feature vector; calculating a matching degree between the multi-dimensional retrieval feature vector and a multi-dimensional image feature vector of a video picture frame stored in a database, and screening out picture frames of which the similarity is higher than a preset similarity threshold to form a retrieval candidate matching set; and determining matched picture playing. The video content retrieval method is efficient, accurate and high in interactivity, and retrieval experience and operation efficiency of the user in the video watching process are remarkably improved.

This invention relates to a method, apparatus, electronic device, and storage medium for intelligent agent memory management. The method includes: acquiring interaction content between the intelligent agent and a user; performing semantic segmentation and metadata extraction to generate memory fragments; storing the memory fragments in a multi-level directory structure of a local file system, without deleting memory fragments already stored in the multi-level directory structure; constructing a time index, keyword index, semantic index, and association index for the memory fragments; and, in response to a retrieval request from the intelligent agent or user, retrieving memory fragments matching the retrieval request from the time index, keyword index, semantic index, and association index respectively to obtain a candidate memory set, performing fusion and sorting to obtain sorted memory data. This invention improves the efficiency of intelligent agents in accumulating and reusing knowledge and experience, and also enhances privacy protection and long-term memory reliability.

An intelligent tool car relates to the technical field of tool cars. According to the intelligent tool car provided by the utility model, paper drawings are replaced by electronic drawings by combining existing hardware modules. Therefore, automatic updating of online drawings is realized, resource waste is reduced, and drawing retrieval and updating efficiency is improved. Furthermore, the tool is intelligently associated with the drawing, so that the operation error and the tool loss rate are reduced, and the anti-loss management of the tool can be realized. Furthermore, through the modular design and the plug-and-play characteristic of existing hardware, the manufacturing cost of the equipment is reduced by 30%, development programs do not need to be customized, the equipment can be directly adapted to management systems of different workshops, and the popularization threshold is low. The system is suitable for non-standard processing scenes such as digital intelligent plate cabinet workshops and the like, and is used for solving the problems of lagging drawing management, low tool use efficiency, resource waste and the like.

The video character retrieval method, device, equipment and storage medium of the present application, wherein the method comprises: establishing an original video database, obtaining a target video from the original video database; extracting a character segment in the target video; extracting a character audio in the character segment; performing semantic analysis on the character audio to obtain an audio text; combining the audio text and a video text in the target video to obtain a combined text; and using a preset character identity recognition model to extract a character identity in the combined text, wherein the preset character identity recognition model is obtained by training a convolutional neural network. The combined text combining the audio text and the video text includes the character name and the character relationship of the target video, and the character identity in the combined text can be automatically extracted by the trained preset character identity recognition model, thereby achieving high retrieval accuracy and efficiency.

The application discloses a retrieval method and related device. According to a to-be-retrieved input string, prefix matching is performed in a target dictionary tree to obtain a target leaf node. According to a remaining string of the to-be-retrieved input string, each full string in a data file corresponding to the target leaf node is checked to obtain a checking result of each full string, the checking result being used to indicate whether the corresponding full string matches the to-be-retrieved input string. If the checking result indicates that a target full string in the data file matches the to-be-retrieved input string, a word corresponding to the target full string is determined as a candidate of the to-be-retrieved input string. The application combines the target dictionary tree and the data file to perform retrieval, the target dictionary tree has the characteristic of high retrieval efficiency, and meanwhile, since the remaining string is a partial string of the to-be-retrieved input string, the time for performing retrieval in the data file is also reduced. Therefore, the retrieval efficiency and retrieval performance are improved, even the response performance of the entire input method is improved, and the input experience is improved.

Embodiments of the invention disclose an information retrieval method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a to-be-processed character string; if the length of the to-be-processed character string exceeds a set length value, according to the set length value, the to-be-processed character string is split in a non-repeated mode, a plurality of splitting results are obtained, the length of the to-be-processed character string is the number of characters contained in the to-be-processed character string, and the set length value is a positive integer larger than 1; retrieval is carried out on the basis of the multiple splitting results, multiple preliminary retrieval results are obtained, and each preliminary retrieval result comprises the multiple splitting results; and for each preliminary retrieval result, determining a screening result of the preliminary retrieval result based on the distance between two adjacent splitting results in the plurality of splitting results in the preliminary retrieval result. In the embodiment of the invention, the to-be-processed character string is split in a non-repeated manner, so that redundant calculation of repeated characters can be avoided, and the information retrieval efficiency is improved.

The embodiment of the invention discloses an article retrieval method, an article retrieval device and electronic equipment. A specific embodiment of the method comprises the steps of generating a request vector in response to a received article retrieval request, and generating retrieval attribute data according to a retrieval condition in the article retrieval request; according to the request vector, retrieving an article vector set under a target leaf node matched with the request vector from a pre-constructed article vector tree; and according to the description attribute data of the articles, retrieving a recalled article set matched with the retrieval attribute data from the articles indicated by the article vector set so as to be screened by the business layer. The implementation mode is related to an information retrieval technology, and some filtering rules of a business layer can be integrated into a vector recall stage of an engine layer in advance. In this way, invalid commodity advertisements which do not meet user requirements can be filtered out in advance, so that the data volume of invalid data needing to be processed by a subsequent service layer is reduced, and the overall retrieval efficiency is improved.

The invention discloses a time sequence data retrieval method and device, terminal equipment and a storage medium, and belongs to the field of data retrieve.The method comprises the steps that a time sequence data set is obtained and evenly sampled, and a plurality of check points are obtained; calculating an actual interval between the check points, and judging a data distribution state of the time sequence data set; if the time sequence data set is uniformly distributed, performing interpolation positioning on the time sequence data set according to a target timestamp, and outputting a pointer corresponding to a target data element; and if the time sequence data set is non-uniformly distributed, carrying out secondary sampling on the time sequence data set, constructing a skip list of breadth-first storage layout according to the sampled elements, carrying out tree search, positioning to a target data interval, carrying out binary search, and outputting a pointer corresponding to a target data element. The problems that in the prior art, the whole scene cannot be covered to give play to the optimal performance, and adaptability is poor can be solved.

The invention discloses an educational academic literature tracing method and system based on retrieval enhancement generation. The method comprises the following steps: performing fine-grained analysis on the multi-source literature, constructing a document object containing fields such as a title, an abstract, a methodology, an experimental result and a conclusion, and establishing a field-level index and a citation network feature score; identifying an academic intention queried by a user by utilizing a large model, dynamically loading a weight mapping table according to the academic intention, and performing weighted rearrangement on multiple paths of retrieval results to obtain candidate core literatures; generating a traceability text with an explicit label based on the candidate literature; and executing reference consistency verification by using the natural language inference model, and executing illusion correction according to a verification result. According to the method, through structured field analysis and dynamic rearrangement of intention driving, the problems of semantic fragmentation and reference fictition when a general RAG is used for processing complex academic literatures are solved, and the academic traceability preciseness and accuracy are remarkably improved.

The application provides a retrieval method, device and equipment for software product prototype information, a medium and a product. The method comprises the following steps: obtaining a plurality of prototypes of a target software product and corresponding associated information of each prototype, wherein the associated information comprises prototype source files, software product information and plug-in resources used by the prototypes, and the software product information comprises function characteristic information and version information. For any prototype, the prototype source files, the software product information and the plug-in resources used by the prototype are associated and bound to generate an associated data set, and a prototype library containing a function characteristic dimension and a version dimension is constructed based on the associated data set of each prototype. Then, in response to a retrieval condition input by a user, the prototype library is retrieved according to the function characteristic dimension or the version dimension to obtain matched prototype information. The application improves the prototype retrieval efficiency and accuracy.

This application provides a method for loading dynamic capability configurations for a home-based embodied intelligent robot, comprising: Step 1: In response to a new hardware access signal, performing local hardware pairing and service registration; after the pairing and service registration are successful, retrieving a dynamic capability extension package corresponding to the accessed hardware, containing capability execution logic and interface configuration requirements, from a preset capability repository, and generating a global capability mapping table recording component installation status and hardware / software interface occupancy information based on the dynamic capability extension package; Step 2: In response to a received task instruction, performing capability retrieval in the global capability mapping table to determine the hardware readiness status and installation status corresponding to the target logic component required for the task to be executed, and then performing on-demand installation and data loading processing on hardware that meets preset criteria to produce a set of loaded capabilities containing the running entity of the target logic component.

This utility model provides a layered label, relating to the field of label technology. It includes a label body with an information-carrying layer inside. A flexible layer is fixedly attached to the bottom of the information-carrying layer, and an adhesive layer is fixedly attached to the bottom of the flexible layer. A surface information layer is located within the information-carrying layer, and a UV-resistant isolation layer is located at the top of the surface information layer. A fluorescent high-brightness layer is fixedly attached to the top of the UV-resistant isolation layer. The fluorescent high-brightness layer, using a rare-earth fluorescent pigment coating with a thickness of 0.01-0.02mm, requires no external power source and can automatically emit light in dimly lit warehouses or nighttime environments, improving retrieval efficiency and enhancing practicality. The UV-resistant isolation layer, using a transparent UV absorber film with a thickness of 0.02-0.03mm, extends the lifespan of outdoor labels (such as on open-air shelves) and resists text blurring caused by direct sunlight, further enhancing practicality and making the label body more functionally comprehensive.

The invention discloses an electronic sand table system for power line distribution based on a ground GIS map. The electronic sand table system comprises a data acquisition module, a GIS fusion module, a modeling module, a line management module, a crossing detection module and a visual display module. According to the electronic sand table system based on the power line distribution of the earth GIS map, a traditional physical sand table is abandoned, multi-terminal access of a computer, a mobile phone and a tablet computer is supported, an off-line cache function is achieved, the problem of data use in network-free environments such as remote mountainous areas and tunnels is solved, and data can be inquired anytime and anywhere. The overhead line is marked with the safe distance boundary, the actual scene is accurately restored in the system, the problem that traditional modeling straight line connection is disjointed with actual wiring is solved, and the line planning deviation rate is reduced. According to the method, the information retrieval and detection efficiency is improved, planning conflicts are found in advance through precise modeling and crossing detection, the modeling precision is improved, the construction cost is reduced, the application range is wide, and the practicability is high.

The application provides an identity card address updating method, device, equipment, medium and program product, and relates to the technical field of digital data processing. According to a target identity card number, searching is performed in an address dictionary tree, an administrative planning tree and an index address tree to obtain a searched identity card address. The original identity card address of the target identity card number is updated based on the searched identity card address. The first administrative region of the target identity card number is quickly found through the address dictionary tree and the administrative planning tree, and the searching efficiency of the identity card address is improved. Meanwhile, the administrative planning tree includes a first change instruction, and the index address tree includes a second change instruction, so that the searched identity card address is an updated address, and the efficiency of perfecting and correcting the identity card address after the change of the administrative region is improved.

This application relates to the field of computer technology and discloses a method and apparatus for modeling communication topology information based on collaborative traffic monitoring. The method includes: caching collected network traffic data in memory and preprocessing the network traffic data to obtain network traffic attributes corresponding to the network traffic data; merging network traffic data with the same network traffic attributes collected within a preset time period in real time to obtain merged network traffic data, and parsing the merged network traffic data to obtain initial network traffic data; modeling the initial network traffic data to generate data objects that meet database requirements, and storing the data objects in the database to generate a communication link table; and performing database materialized view processing on the communication link table to generate a database physical view. Applying this method can effectively improve retrieval efficiency, meet the requirements of high-efficiency queries, and satisfy multi-dimensional graph query needs.

The application discloses a kind of modeling tool management methods and systems based on blockchain, it is related to blockchain technical field, the method includes uploading model file to distributed file system;Record the upload time of model file and calculate the storage address of model file;Classify model file by data classification model, obtain classification result;According to classification result, the relevant data of model file is added to blockchain;According to blockchain data, the change of model file is managed;Wherein, relevant data includes storage address, adding time, upload time, modeling tool identifier, front block hash value and current block hash value.The application classifies model file, according to the storage address of model file and other relevant data in corresponding blockchain according to classification result, the addition of data is verified by blockchain data, improve the efficiency and accuracy of modeling tool modeling data storage.

The invention discloses a collaborative application method and device of a multi-mode intelligent interaction system and a medium, belongs to the technical field of industrial internet, and is used for solving the technical problems that an existing digital transformation innovation experience center is difficult to meet diversified requirements of customers, the interaction mode is single, and the manual dependence degree is high. The method comprises the steps of performing full-contact data acquisition processing on key behavior tracks of enterprise users on various platforms through enterprise user IDs subjected to code scanning identification to obtain multi-dimensional behavior data; constructing and updating the portrait of the enterprise user to obtain the portrait of the enterprise user; carrying out matching processing on the enterprise user portrait and a content library; generating an exclusive two-dimensional code for code scanning processing of an enterprise user, and determining an enterprise diagnosis report; performing question and answer response control on agents in different areas in the digital transformation innovation experience center to obtain an intelligent interaction strategy; and based on the intelligent interaction strategy, generating a guide visiting route for guiding exhibition of the enterprise user.

The application discloses an accounting archive management method and system based on a blockchain technology and a large language model, and comprises the following steps: extracting a multi-dimensional semantic feature vector of an original bill through a bill semantic understanding and reasoning model; matching a bill and an accounting entry checking relationship by using an accounting checking relationship identification algorithm; converting a matching result into a blockchain transaction data unit by using a blockchain transaction sequence packaging algorithm; generating a multi-level label by combining archive parameters through an archive label intelligent matching engine; associating the label with the transaction data unit, calculating a hash value, and generating a unique identifier; and storing a data block to a blockchain node and updating an index according to archive management parameters. The system realizes a method process through corresponding units, automatically completes bill semantic extraction, checking matching, blockchain packaging, label generation and distributed storage, solves the problems of many data association errors, unsafe storage, low label accuracy and poor retrieval efficiency in traditional management, and improves the intelligence and security of accounting archive management.

The application discloses a tree document retrieval method, device, equipment and storage medium. The method comprises the following steps: obtaining a pre-stored document tree, the leaf nodes of the document tree correspond to document content, and the non-leaf nodes correspond to directory information; initializing a task tree representing a retrieval path, the initial state of the task tree comprises a root node, and the four-tuple information of the root node comprises an original question, a document tree root node path, document tree root node content and an empty history record list; inputting the information on the current task tree into a large language model, the large language model plans a retrieval path based on the task tree, and outputs text information returned by the root node of the task tree; and obtaining a retrieval result based on the text information returned by the root node of the task tree. The application proposes a document retrieval method based on a task tree and a document tree, uses the reasoning and multi-step thinking ability of the large language model, so that the model can further explore and reason according to the existing node information, and generate more accurate and comprehensive answers.

This disclosure relates to the field of data processing technology, and in particular to a method, apparatus, and electronic device for managing home decoration products. The method includes: obtaining a target transaction identifier; performing a fast search based on the target transaction identifier to obtain a search index corresponding to the target transaction identifier; wherein, one target transaction identifier corresponds to one search index; determining a historical version snapshot of the target home decoration product corresponding to the search index based on the search index; wherein, the historical version snapshot includes one or more of a product master table snapshot, an inventory table snapshot, a price table snapshot, and a request table snapshot; generating a prompt message based on the historical version snapshot; wherein, the prompt message is used to indicate the search results corresponding to the target transaction identifier.

This invention belongs to the field of large-scale artificial intelligence model technology and discloses a method and system for large-scale RAG retrieval with mixed text and image output. The method preprocesses the original document corpus to generate a corpus tree, and processes the corpus of images, tables, etc., generating key-value pairs which are stored in a database. It generates word vectors for question-and-answer statements and searches them against the corpus tree to find the most relevant corpus. The most relevant corpus is concatenated into a prompt and then sent to the large-scale text-to-speech model. The large-scale question-and-answer model outputs relevant results. Based on the results output by the large-scale text-to-speech model, the key information of images and tables in the results is retrieved and replaced to generate the final question-and-answer results. This invention solves the problem of existing technologies struggling to handle data containing text, images, and charts, and generates highly accurate final question-and-answer results.

The present application relates to the technical field of artificial intelligence, in particular to a retrieval enhancement generation method, device and medium based on hierarchical tree and self-reflection, the method comprising: constructing a multi-level tree structure knowledge base, the knowledge base comprising a plurality of tree index structures constructed based on text similarity, enterprise organizational structure and job level structure; receiving user query and user identity information; generating a plurality of sub-queries corresponding to different retrieval intentions based on the user query and the user identity information; performing multi-path retrieval of each sub-query in the corresponding tree index structure to obtain a relevant knowledge fragment set; generating a final answer based on a self-reflection mechanism, while realizing knowledge tracing. The present application solves the problems of low knowledge base quality, poor retrieval result relevance and single retrieval path existing in traditional RAG technology, and significantly improves the accuracy, relevance and interpretability of enterprise system question answering.

The application discloses a data monitoring method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: obtaining a data original message; extracting key data in the data original message, and storing the key data in a data set according to a predetermined level; receiving an abnormal data query operation, determining abnormal data in the data set; and performing timing monitoring on the abnormal data. The application solves the technical problem that it is difficult to comprehensively monitor abnormal data in related technologies.

The invention discloses an oblivious R tree construction method and retrieval method based on a trusted execution environment. The method comprises the following steps: firstly, creating a storage structure in the same machine, wherein the storage structure comprises a trusted memory based on TEE and an untrusted external memory; the trusted memory comprises an ORAM Client region, an R tree node storage region and a data cache region; the external memory comprises an ORAM Server region, and performs data exchange with the Client region according to an ORAM protocol; generating an R tree by using an index initialization algorithm, and initializing the Client region and the Server region according to the generated R tree; then selecting a probability p according to a to-be-stored data volume and a storage space size of the trusted memory, and recording the probability p into the trusted memory; and storing each node of the R tree into a node storage area of the R tree according to a probability p, and storing the rest nodes into a Server area.

The application discloses a power plant equipment two-dimensional code standardization generation and analysis management system based on KKS coding, comprising a server and a mobile terminal. The data preprocessing module of the server carries out semantic vectorization processing on the KKS coding and generates a dynamic hash index; the two-dimensional code coding module adopts a non-uniform redundancy distribution mode, distributes the core semantic section to the two-dimensional code center high-redundancy protection area, and distributes a lower redundancy factor or a predictive error correction bit to the edge area; the data feedback module returns adaptive display content based on an identity tag. The mobile terminal analysis module preferentially decodes the center area to extract the system attribution vector in an offline state, combines a local process logic library and auxiliary positioning information to restore the equipment information through probability matching recursion; meanwhile, the dynamic hash index and the identity tag can be sent to the server to obtain online display content. The application significantly improves the recognition rate under oil stain shielding, realizes offline analysis, reduces the label reprint cost, and supports role differentiation information display.

The application discloses a kind of real estate data matching method and system based on priority search chain, it is related to data matching and query system field, this real estate data matching method and system based on priority search chain, data end is marked to house information by different mark, user end collects user demand and carries out priority sorting, according to sorting in database search, in the aspect of house information processing, the corresponding mark identification of the house information collected, according to different mark, the classification and search of house information, in user, according to the actual demand of the user collected, and the priority sorting of user demand, search tool according to the order of user demand in house source database carries out search, from last item collected data to the back sorting, obtains the data list of most matching user demand, avoid the data disorder caused by multiple different needs, and useless even false advertisement influence user's audio-visual.

This invention provides a generative text and image cross-modal retrieval method and apparatus, applied in the field of information retrieval technology. The method includes: inputting image samples from an image candidate set into the visual encoder of a multimodal large language model to obtain a discrete image token sequence; constructing an image token dictionary based on the discrete image token sequence; performing supervised fine-tuning training on the multimodal large language model based on labeled data from text samples and the discrete image token sequence to obtain a supervised fine-tuning model; optimizing the supervised fine-tuning model using reinforcement learning based on a population relative policy optimization algorithm to obtain a generative multimodal retrieval model; and inputting query text into the generative multimodal retrieval model for constrained-bind search to obtain the image retrieval result corresponding to the query text output by the generative multimodal retrieval model. This invention can optimize the accuracy of generative text and image cross-modal retrieval.