50 results about "Indexer" patented technology

To solve the problems of fractured identity across multiple blockchains, these methods and systems allow for a single unified identity to be managed and resolved across multiple chains within an interop network. By leveraging message passing, identity records can exist securely across different chains. The system incorporates counterfactual blockchains, enabling trust-minimized name registration that reduces costs while maintaining decentralization and security. ENS name resolution is supported across both onchain and offchain environments, with verifiable proofs ensuring efficient resolution. By structuring message passing and utilizing decentralized indexers, these methods and systems provide a scalable and reliable framework for cross-chain identity.

The invention discloses an intelligent log retrieval and analysis system based on a model context protocol MCP, and relates to the technical field of log analysis. The system comprises an MCP log semantic conversion and retrieval engine, a log format irrelevant feature extraction and indexer, a dynamic log format recognition and context enhancement system, a real-time retrieval analysis and aggregation controller and a multi-level semantic retrieval and visualization engine. According to the context enhancement system, unknown formats can be identified, semantic tags can be complemented, and semantic consistency and behavior tracking capability can be improved. The retrieval analysis controller supports semantic expression analysis, strategy generation and feedback closed loop, and strategy scheduling and multi-dimensional aggregation analysis are achieved. And finally, outputting a structured semantic result by the system, and visually displaying the structured semantic result through components such as a semantic composition device and a context expander. All the modules are managed in a unified mode through a capability registration mechanism, dynamic arrangement and upstream and downstream closed-loop linkage are supported, and a log intelligent analysis framework with high semantic driving and a clear structure is formed.

Systems and techniques for determining and using multiple types of offsets for providing wafers to a transfer pedestal of a multi-station processing chamber are disclosed. Such techniques may be used to provide pedestal-specific offsets that may be selected based on which pedestal of a multi-station chamber is assigned to a particular wafer. Similar techniques may be used to provide wafer support-specific offsets based on which indexer arm of an indexer is assigned to a given wafer.

Indexing application actions for voice-based execution is provided. An indexer of a device receives, from an application executed by the device, an indication of an action and a deep link corresponding to the action declared by the application via an application programming interface. The indexer accesses an index stored in the memory of the device that is accessible to a plurality of applications. The indexer inputs, into a location in the index, the action and the deep link with a cryptographic token that prevents access to the deep link by unauthorized applications. A digital assistant of the device receives a voice query detected by a microphone and parses the voice query to determine the action. The digital assistant identifies in the index the deep link corresponding to the action. The digital assistant invokes, with the cryptographic token, the deep link to cause the application to perform the action.

A data intake and query system can ingest and index large amounts of data using one or more ingestors and indexers. The ingestors can ingest incoming data, use it to generate events, and communicate the generated events to a message bus. Indexers can monitor their capacity to process additional groups of events. Based on a determination that an indexer has capacity to process one or more groups of events, the indexer can request one or more messages from the message bus, and process the events associated with the one or more messages.

A multimodal content management system having a block-based data structure can include an artificial intelligence (AI)-based embeddings generator and indexer. After receiving an item update instruction that includes an object (e.g., a block content, a block property, or a block schema) identifier and an update payload, the system can transform the update payload—for example, by generating a chunk to capture at least a portion of the update payload. The chunk can correspond to a particular content modality included in the update payload. The system can generate and retrievably store a vector comprising a set of embeddings corresponding to the chunk, where the embeddings represent a vectorized portion of block content, block property, or block schema.

Techniques are described for generating a set of emotion factor values using one or more machine learning models for customer communications. For example, a computing system includes one or more processors in communication with a memory. The one or more processors are configured to receive communication data of a current communication associated with a customer, apply the communication data to an emotion-based indexer as input wherein the emotion-based indexer includes a set of machine-learning models for a set of emotion factors, generate as output from the emotion-based indexer a set of emotion factor values for the current communication wherein each emotion factor value indicates the measure of a particular emotion factor in the current communication, apply the set of emotion factor values to an emotion classification model, and classify the current communication into an emotion state based on the set of emotion factor values.

In a computer-implemented method for configuring a distributed computer system comprising a plurality of nodes of a plurality of node classes, configuration files for a plurality of nodes of each of the plurality of node classes are stored in a central repository. The configuration files include information representing a desired system state of the distributed computer system, and the distributed computer system operates to keep an actual system state of the distributed computer system consistent with the desired system state. The plurality of node classes includes forwarder nodes for receiving data from an input source, indexer nodes for indexing the data, and search head nodes for searching the data. Responsive to receiving changes to the configuration files, the changes are propagated to nodes of the plurality of nodes impacted by the changes based on a node class of the nodes impacted by the changes.

A computing device receives an ingest preview request to preview events to be stored by at least one indexer. Responsive to the ingest preview request, the computing device sends a subscription request to the forwarders. The forwarders receive the subscription request and intercept the events that are being sent to at least one of the indexers. The forwarders then clone matching events to the subscription request and responds to the computing device with the matching events. When the computing device receives the matching events, the computing device adds the matching events to a dispatch directory. The user interface is then populated with events in the dispatch directory.

Methods and systems are described herein for facilitating blockchain operations in decentralized applications by offering enhanced efficient when conducting blockchain operations using cryptography-based, digital ledgers through the use of specialized indexing. For example, as opposed to relying on raw blockchain data to power decentralized applications, the methods and systems use a blockchain indexer. The blockchain indexer provides a queryable record of a subset of blockchain operations.

The invention relates to the technical field of post quantum cryptography, and discloses a multi-algorithm collaborative acceleration system for dynamically reconstructing post quantum cryptography. The system comprises a dynamic parameter library, a password graph indexer, a vectorization scheduling engine and a collaborative execution unit. And after dynamic parameter inventory, the quantum cryptography algorithm operates the parameter set in real time, and feedback update is performed according to the collaborative execution unit. A dynamic cryptographic algorithm index graph is constructed by a cryptographic graph indexer, nodes are algorithm instances, edges are in a cooperative relation, and edge weights are fed back and adjusted according to vectorization scheduling engine path weights. The vectorization scheduling engine carries out vectorization coding on a user password task request to generate a task semantic vector, calculates the similarity between the task semantic vector and an index map node embedding vector, and generates an algorithm selection instruction. And the collaborative execution unit receives the instruction, calls a corresponding algorithm instance for operation, and feeds back the parameter change to the dynamic parameter library. According to the system, dynamic optimization and efficient collaboration of the post-quantum cryptography algorithm are realized, and the adaptability to complex scenes is enhanced.

Systems and methods are provided for implementing a universal search indexer for enterprise and cloud accessible websites. A universal search indexer, using a crawling agent, crawls a target website and / or web documents in the target website, which includes a plurality of webpages including at least one of one or more static webpages or one or more dynamic webpages. The universal search indexer extracts website content and / or web documents as the target website is being crawled, and ingests the extracted website content and / or web documents within a data store, by indexing the extracted website content and / or web documents in a search index of the data store. The extracted website content and / or web documents are indexed to be searchable and refinable using a search engine, the extracted website content and / or web documents being retrievable via the search engine.

A data intake and query system can ingest and index large amounts of data using one or more ingestors and indexers. The ingestors can ingest incoming data, use it to generate events, and communicate the generated events to a message bus. Indexers can monitor their capacity to process additional groups of events. Based on a determination that an indexer has capacity to process one or more groups of events, the indexer can request one or more messages from the message bus, and process the events associated with the one or more messages.

A data intake and query system can manage the search of data stored at an external location relative to the data intake and query system using one or more indexers. The data intake and query system can receive data stored at the external location. The data intake and query system can process the data and generate an index using the one or more indexers. The data intake and query system can discard the data and store the index and a location identifier of the external location in one or more buckets. In response to a query, the data intake and query system can identify that at least a subset of the data is responsive to the query using the index and can obtain the at least the subset of the data from the external location using the location identifier.

The invention provides a data indexing method and system and a related device, and relates to the field of cloud computing. The method is performed by a data indexing system, the system comprising a first indexer and a first merger, the first merger and the first indexer being located on different compute instances. The method comprises the following steps: a first indexer generates a plurality of first segment files, packs the plurality of first segment files into a first data packet, and sends the first data packet to a first combiner; the first combiner combines the plurality of first segment files in the first data packet to generate a second segment file, and sends the second segment file to the first indexer in the form of the data packet; and the first indexer stores the second segment files and deletes the plurality of first segment files packaged into the first data packet from the disk. According to the embodiment of the invention, the merge operation is independent, and the merge operation is executed by the independent merger, so that the problem that an indexer delays in processing a write request and a read request due to processing of the merge operation can be avoided, and the user experience is improved.

The present disclosure relates to a method and a system for creating a network area. The disclosure encompasses: receiving, at a User Interface (UI) [202], a request for creating the network area; transmitting, by a load balancer [100k], the request to an integrated performance management (IPM) [100a]; storing, by the IPM [100a], a data associated with the request at a Distributed Data Lake (DDL) [100u]; transmitting, by the IPM [100a], the data associated with the request to an Indexer (IN) [208]; analysing, by the Indexer [208], the data associated with the request to create the network area; creating, by the Indexer [208], the network area based on the analysis of the data associated with the request; enriching, by the indexer [208], a network data associated with the created network area based on a set of user input received from a user; and uploading, by the indexer [208], the enriched network data at the DDL [100u] for storage.

A multimodal content management system having a block-based data structure can include an artificial intelligence (AI)-based embeddings generator and indexer. After receiving an item update instruction that includes an object (e.g., a block content, a block property, or a block schema) identifier and an update payload, the system can transform the update payload—for example, by generating a chunk to capture at least a portion of the update payload. The chunk can correspond to a particular content modality included in the update payload. The system can generate and retrievably store a vector comprising a set of embeddings corresponding to the chunk, where the embeddings represent a vectorized portion of block content, block property, or block schema.

Assembly, comprising: a hub (32), wherein the hub has an axis of rotation (34); a locking element (40) which is rotatably and axially attached to the hub (32); a translation element (46) with a translator (44) attached to its outer circumferential surface (132), wherein the translation element (46) is mounted on the locking element (40), the translation element (46) is rotatably mounted and is axially movable relative to the axis of rotation (34); an indexer (38) mounted on the hub (32), which is rotatable and axially movable relative to the axis of rotation (34); a support (36) which is mounted on the hub (32) and engages with the indexer (38), wherein the support (36) is rotatably mounted and axially movable to perform axial movement without rotation; and a return element (26) that preloads the indexer (38) into a retracted position, wherein the translation element (46) acts against the return element (26) to move the indexer (38) into an extended position.

METHOD AND SYSTEM FOR CUSTOMIZING INDEXING OF DATA IN A NETWORK The present disclosure relates to a system (120) and a method (500) for customizing indexing od data in a network (105) The system (120) includes a probe unit (220) configured to segregate data based on a version of the data, the data pertaining to Radio Access Network (RAN) data. The system (120) includes a conductor unit (225) configured to decipher the segregated data to identify a structure and type of the segregated data and to decode the deciphered data based on the type of the data. The system (120) includes an indexer unit (230) configured to index the decoded data based on an application of one or more rules and metadata to the decoded message. Ref.

The disclosure provides examples of methods, apparatuses, systems, and computer program products for implementing a search indexer. One example method includes receiving, by index workflow circuitry, a search index update indicator, causing, by the index workflow circuitry and in response to receiving the search index update indicator, index generation circuitry to retrieve data sets from a plurality of data sources, calculating a checksum for each of the data sets, comparing the checksum for each of the data sets to a set of search index metadata, in response to determining that at least one checksum for at least one of the data sets does not match a metadata checksum from the set of search index metadata, generating a set of search index data from the data set corresponding to the at least one checksum, generating a search index using at least the set of search index data, and transmitting the search index to a search service for use in responding to at least one search query.

Systems and methods are provided for implementing a universal search indexer for enterprise and cloud accessible websites. A universal search indexer, using a crawling agent, crawls a target website and / or web documents in the target website, which includes a plurality of webpages including at least one of one or more static webpages or one or more dynamic webpages. The universal search indexer extracts website content and / or web documents as the target website is being crawled, and ingests the extracted website content and / or web documents within a data store, by indexing the extracted website content and / or web documents in a search index of the data store. The extracted website content and / or web documents are indexed to be searchable and refinable using a search engine, the extracted website content and / or web documents being retrievable via the search engine.

The invention discloses an intelligent question-answering system based on AI, and the system comprises a document recognition and extraction unit which is used for recognizing the source type and format of a document, and carrying out the auxiliary splitting of a Document document processing model according to different types and formats; the knowledge base data splitting and archiving unit is used for constructing a hierarchical distributed storage framework and carrying out data splitting and archiving according to different overall framework, classification system and authority configuration of the stored data; the searcher word segmentation optimization unit adopts AI Search, and endows enterprise vocabularies with priorities and weights through setting of indexes and an indexer, so that the enterprise vocabularies are preferentially segmented in the word segmentation process; the AI model training unit is used for selecting an adaptive AI basic model architecture according to an enterprise business target and question and answer requirements; and the intelligent document management unit is used for setting intra-department, cross-department and project knowledge permission groups on the basis of enterprise organization architecture and project team cooperation requirements, and ensuring question-answer interaction and document viewing and modifying operations of employees through an identity authentication token and digital signature encryption transmission technology.

A web crawler comprises a means of detecting webpage content changes and indexing document using Javascript provided by content indexer to detect changes and notify the content indexer of the change.

A data intake and query system can manage the search of data stored at an external location relative to the data intake and query system using one or more indexers. The data intake and query system can receive data stored at the external location. The data intake and query system can process the data and generate an index using the one or more indexers. The data intake and query system can discard the data and store the index and a location identifier of the external location in one or more buckets. In response to a query, the data intake and query system can identify that at least a subset of the data is responsive to the query using the index and can obtain the at least the subset of the data from the external location using the location identifier.

The present disclosure provides a method, system, and computer-readable storage media for operating a repository supporting multiple package types. To illustrate, the repository may be operated in accordance with an index framework that is used to maintain internal structures and interdependencies of each of the multiple package types. In a particular implementation, a REST API module may receive a REST request corresponding to a package type. In response to receiving the REST request, the REST API may initiate an index operation to generate index indicia based on the package type and a content of a portion of at least one memory corresponding to the package type. Based on the index indicia, an index model module may generate a packet type index and store, at a repository module, the package type index at a location in the at least one memory corresponding to the package type.

A method for performing disaster recovery in a clustered environment comprises identifying, at a master device, a first indexer from a set of indexers to serve as a primary indexer for responding to queries pertaining to a subset of data. The method also comprises assigning, at the master device, a generation identifier indicating that the first indexer is the primary indexer for the subset of data. Responsive to an event prompting a change in a primary indexer designation for the subset of data, the method comprises identifying, at the master device, a second indexer from the set of indexers to serve as the primary indexer for responding to queries pertaining to the subset of data. Further, the method comprises assigning, at the master device, a new generation identifier indicating that the second indexer is the primary indexer for the subset of data.

The application discloses a kind of based on HBase's data synchronization method, device and storage medium, it is related to big data field.The method comprises the following steps: receiving user operation index list corresponding to index update;Receive HBase data and synchronize to public region server;Indexer indexes data in the public region server according to index list, and obtains index data;According to the index list after updating, the index data is filtered, and effective data stream is output, and the effective data stream is written into ES.The application is synchronized to data by public region server, and it is conducive to the index of data, can substantially reduce memory, CPU and thread resource occupation, improve the robustness of indexer component under high load scenario, improve product competitiveness.

The present invention relates to the field of financial technology, and discloses a data processing method, device, equipment and computer-readable storage medium. The data processing method comprises: obtaining data to be stored, storing the data to be stored in a preset key-value memory in the form of a key-value pair, and obtaining a corresponding first storage address; parsing the data to be stored to obtain a first keyword; establishing an index between the first keyword and the first storage address, and storing it in a preset keyword indexer. The present invention can solve the problem of poor flexibility of the existing memory structure data storage method.

The application relates to the technical field of post-quantum cryptography, and discloses a dynamic reconstruction post-quantum cryptography multi-algorithm cooperative acceleration system. The system comprises a dynamic parameter library, a cryptographic graph indexer, a vectorization scheduling engine and a cooperative execution unit. The dynamic parameter library stores a set of real-time running parameters of post-quantum cryptography algorithms, and is updated according to feedback from the cooperative execution unit. The cryptographic graph indexer constructs a dynamic cryptographic algorithm index graph according to the parameters, wherein nodes are algorithm instances, edges are cooperative relationships, and edge weights are adjusted according to path weight feedback from the vectorization scheduling engine. The vectorization scheduling engine vectorization-encodes a user cryptographic task request to generate a task semantic vector, calculates the similarity between the task semantic vector and node embedding vectors of the index graph, and generates an algorithm selection instruction. The cooperative execution unit receives the instruction, calls corresponding algorithm instances to operate, and feeds back parameter changes to the dynamic parameter library. The system realizes dynamic optimization and efficient cooperation of post-quantum cryptography algorithms, and enhances the adaptability to complex scenarios.