Table of Contents Introduction Overview Introduction SPARQUE.AI is AI assisted technology to make interaction with customers in digital channels personalized and meaningful. Artificial Intelligence your way. SPARQUE.AI provides the technology to create APIs for personalized search, relevant recommendations

Table of Contents Introduction Features Introduction SPARQUE.AI is an AI-based search and recommendation service. The AI-supported algorithms can be fed from a variety of data sources such as ERP, e-commerce, PIM, but also the browsing history, the device used or real-time data such as the weather.

Table of Contents Problem Solution A Solution B Problem Sometimes data replication fails due to search index problems. This guide is intended to help you resolve this problem. Some replication failures are caused by search index problems such as: Invalid edit system search indexes - Error: The replication

Table of Contents Introduction References Steps for Automation Create Product Export Job Create Catalog Export Job Create File Destination in Azure DevOps Create Transport Configuration Create and Execute Process Chain for Automatic Export Create All Job Configurations via DBInit Configure SPARQUE to

Table of Contents Introduction Glossary References SPARQUE SPARQUE Integration Setup Customization Extend the Existing REST API Endpoints Add New REST API Endpoints Modify the Behavior of an Existing REST Endpoint Add New Data Sources Add Data Sources in Non-Intershop Format Re-Arrange the Relationship

Table of Contents Introduction Glossary References Architecture Overview Involved Components Versions and Compatibility Features REST API Known Limitations Setup and Configuration Search Graph Building Process Customization Options Introduction For many years, searching and browsing within the storefront

Description updates from solrj8.11.1 to 8.11.2 sets match version in solrconfig from 8.9.0 to 8.11.2 null Issue null Moved out of state Resolved Closed null Major AdoWorkItem 83270 Search Search Service Impl Products Products 0 Fixed in Commit 83122 Predecessor responsive/32.4.1 responsive/34.2.2 solrcloud/3

Description Solr Index build creates a lot of "info" logs like: Solr API request ListAliases was successful Solr API request DynamicFields was successful added 500 documents to index, status:0 ... This logging is moved to debug level. null Issue null Moved out of state Resolved Closed null Major AdoWorkItem

Table of Contents Introduction References Download Collection Import Collection Get Token within Postman Change Variables Test All APIs at the Same Time Option Introduction This guide provides step by step descriptions of how to deal with SPARQUE in Postman based on a demo Postman collection. References

Table of Contents Introduction References Getting Started Calls Explained Preconfigured APIs Preconfigured Stacked APIs Parameters Response Type Request Options Product Objects Search Implementation Search Bar Keyword Suggest Product Suggest Category Suggest Result Page Pagination Sorting Options Number

Table of Contents Introduction Recipe: Browse Categories Recipe: Recommendations Introduction In the SPARQUE backend you manage all the elements needed to provide a great search or recommendations experience, among them the knowledge graph, the algorithms, and the (custom) APIs. SPARQUE users can create

Table of Contents Introduction Problem Solution Steps Before You Start (Recommended) Solution Approaches Remarks Introduction This article provides a step-by-step explanation of what to do when a Solr replication fails due to a corrupted search index. Keep in mind: Possible solutions depend on the specific

Table of Contents Introduction Migration Introduction The version 7.10.16.6 uses Solr Cloud instead of Solr Server. Apache SolrCloud is an extension of Solr 4.0 encompassing new features and functionalities. Migration New Solr version 8.2.0 is used. The ICM assemblies do not contain Solr anymore. The

Table of Contents Introduction Migration Introduction The Kafka Appender was used to store logs directly at Kafka queues. With K8s all logs will printed to standard out. JSON format and the Kafka Appender are no longer used. Some implementation partners want to use Kafka as messaging platform and get

Table of Contents Introduction References Version Information and Dependencies Delivery Setup Configuration Feature Overview Changelog Release 4.7.1 Bugfixes Release 4.7.0 Features Bugfixes Release 4.6.0 Features Release 4.5.0 Features Release 4.4.0 Bugfixes Release 4.3.0 Release 4.2.0 Bugfixes Release

Description The edit environment faces the behavior that an update of index configuration (e.g. adding an attribute) does not lead to a touch / update of the related ish-config.xml in the channels site directory. However the lastSchemaUpdate.properties file IS updated in the same directory. The circumstances

Description "BackupAndRestoreSolrCloudIndexesDecorator" throws an "ConcurrentModificationException" during staging. Steps to Repeat Replicate Search indexes using an Solr Cloud Search Adapter 4.4.0 and 3.5.0. hotfix_required obi-review null Bug null Verified Closed Röhm;Signtek Critical AdoWorkItem 92323

Description The object suggest index build fails with following errors in the logs: [2023-11-03 03:12:55.487 +0000] ERROR localhost ES1 appserver0 [] [] com.intershop.component.search.internal.cache.SearchSuggestIndexRebuildableCache [] [Unknown] [ghGsFHEFDXYAAAFvBzNvjtZN] [UWKsFHEFdiMAAAGLJT9zv5Me]

Description The object suggest search type (See Guide) can make use of multiple valued attributes in the underlying source (product) index for the Search and Brand Suggestions e.g. the SearchIndexKeywords attribute. obi-review null User Story null Acceptance tests pass Closed null Major AdoWorkItem 90316

Description When configuring the product and object suggest index to include the SKU as a separate entry for search term related suggests, the product name based product suggestions will no appear anymore. Configuration of the sku as search suggest: <attribute> <custom-values> <custom-value name="SpellCheck"