Here is a glossary of key search and SearchAssist platform terms.
|This feature provides real-time, interactive, and smart insights about the SearchAssist app’s performance. To learn more, see Analyzing Metrics.
|Rules personalize and fine-tune search results based on context. Rules can also be used to configure merchandising and promotions. To learn more, see Configuring Business Rules.
|A channel connects your SearchAssist app with one or more communication apps. To learn more, see Managing Channels.
|In a virtual assistant’s context, entity extraction means fetching the required information to accomplish a task via named entities or categories. The SearchAssist platform uses NLP techniques to find and track named entities from the source field. To learn more, see Extracting Entities.
|Test combinations of multiple indexes and search configurations with two or more variants. Use the results to select the index that can best achieve your business goals, improve search relevance, and enhance the user experience. To learn more, see Experiments with Search Variants.
|Facets allow users to define their own views by applying a unique set of filters. Refine search results by selecting relevant filters in parallel based on field values. To learn more, see Creating Facets.
|Fields are key areas identified from the data sources that can be used to create the search index schema for easy retrieval. For example, questions and answers for an FAQ source, heading, and body for files or web content. To learn more, see Configuring Search Fields.
|Field Mapping is a stage in the Indexing Pipeline used to perform custom mapping to the target field.
|An information processing technique that helps search engines display quick responses to user queries. SearchAssist’s algorithm applies the inverted index process and, by default, indexes all data.
|Configure SearchAssist app fields relevant to your business use cases. The result is more efficient document handling and customized data results. To learn more, see Managing Indices.Index configuration involves the following processes:
|Transforms content into a document suitable for indexing. The pipeline consists of a series of configurable stages. Each stage performs a set of data transformation operations before passing the resulting content to the next stage.
|This technique automatically detects important words from the text stored in a field. To learn more, see Extracting Keywords.
|Kore.ai’s Virtual Assistant or Bot
|A virtual assistant application built on the Kore.ai bot platform or Kore.ai’s Experience Optimization platform.
|Use this interactive and visual tool to customize search results and support business goals. To learn more, see Tuning Results Ranking.
|SearchAssist templates that can customize the display format of individual query results in a search interface. To learn more, see Designing Results Views.
|Customize the front-end design to present search results in a meaningful way for the user. To learn more, see Designing Search Experience.
|The front-end design for search users to submit queries.
|SearchAssist App (in the UI)
|The application created on the SearchAssist platform. Use the platform to add and manage content, store indexes, test configurations, fine-tune relevance, define and apply business rules all with the broad aim of delivering a personalized search experience.
|A technique to understand the logical meaning and interpretation of words, signs, and sentence structure. To learn more, see Applying Semantic Meanings.
|This tool lets you configure search results in response to specific queries. Improve the user experience by presenting the most relevant results as per business requirements.
|Sources are the origins of content ingested into your SearchAssist app. Ingest static content from files and databases. You can also map dynamic content from websites or action prompts from the actively linked enterprise Virtual Assistants. To learn more, see Managing Content.
|Add keyword synonyms to help the SearchAssist app effectively identify user queries.
|Traits are specific attributes or characteristics that users exhibit or express in their conversations. Traits have unique utterances that can lead to identifying intent. Extract traits from documents and user queries to increase relevance scores. To learn more, see Configuring Traits.
|Workbench transforms source content into objects for indexing. Bundled with a simulator, the Workbench provides an interactive preview of how stage rules affect a document before it is indexed. To learn more, see Managing Indexing Pipeline.
|Assign a weight to each field in the index configuration. Those weights play an important role in ranking results and can be used to fine-tune search relevance. To learn more, see Adding Weights.