SearchUnify Cognitive Search Features

Ability to search across different data sources, such as databases, intranets, and applications.

Offers search for a variety of file types.

Ability to search in multiple languages without any additional work required.

Ability of search to handle typos.

Allows the end user to filter and refine search results.

Ability to define synonyms for search terms.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the user to search in a natural, intuitive manner.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Allows users to automate responses to customer inquiries across various channels.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows users to automate the handling, processing, and management of documents.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Allows the AI agent to autonomously resolve customer queries without human intervention.

Enables the AI agent to provide accurate answers based on the context of customer inquiries.

Allows the AI agent to analyze customer sentiment and adjust responses accordingly.

Enables the AI agent to retrieve information from a knowledge base to assist with query resolution.

Provides users the ability to interact with the AI agent in multiple languages for global support.

Enables the AI agent to initiate interactions, such as reminders or follow-ups, with customers.

Provides users the ability to automate gathering and analyzing customer feedback after interactions.

Allows the AI agent to identify when issues require human intervention and escalate them appropriately.

Enables the AI agent to streamline repetitive customer service tasks, improving efficiency and response times.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Embed generative (RAG) capabilities for enhanced answer generation using retrieved content

Allow tuning relevance and ranking through machine-learning or Learning-to-Rank models

Enable the system to understand and interpret natural-language queries

Offers search for a variety of file types.

Ability to search across different data sources, such as databases, intranets, and applications.

Ability to search in multiple languages without any additional work required.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the end user to filter and refine search results.

Ability of search to handle typos.

Ability to define synonyms for search terms.