XO Platform
BankAssist
RetailAssist
SearchAssist
HealthAssist
IT Assist
HR Assist
AgentAssist
SearchAssist
Improve employees’ productivity by providing comprehensive, summarized, and personalized answers to complex queries from several documents across the enterprise.
Kore.ai conversational search assistant leverages cutting-edge large language models (LLMs) and generative AI technologies to empower employees, customer support executives, and knowledge workers with the most accurate, well-summarized, and personalized answers to complex search queries from various unstructured knowledge documents within the enterprise in no time.
Faster response to search queries
Improvement in employee’s productivity and satisfaction
Lower costs for customer support
*Based on Kore.ai implementation/experiments
Knowledge AI
Finding relevant information hidden in a large pool of documents is time-consuming. Kore.ai search assistant addresses this problem by quickly answering user queries with the most accurate and relevant information buried in multiple pages, sections, or tables from numerous documents.
Utilizing LLM and Generative AI technologies, the conversational search assistant accurately understands the intent of user queries without needing any prior training and generates contextually summarized answers with relevant source links, improving workplace efficiency by providing more comprehensive information on a topic in hand.
Automated Text Extraction
A PDF document or image inherently has frozen text, which is non-searchable. Kore.ai conversational search assistant can extract, read, and understand the text from documents, reports, or images.
Using optical character recognition (OCR) capabilities, SearchAssist automatically converts PDF documents and images into searchable text. Further, it allows employees, agents, and customer support teams to search the relevant information embedded in images, graphs, charts, and diagrams, saving their time and improving productivity.
Answer Retrieval from Tables
Extracting data from tables within unstructured documents is time-consuming and prone to errors. Kore.ai conversational search assistant uses deep learning algorithms to understand document layout, LLMs to comprehend complex table relationships, and OCR to extract text in bulk from PDF documents or images, reducing the risk of any error.
Crawling and Indexing
Accessing new or updated existing information is critical for users in any industry, including, Banking, Healthcare, Retail, etc. Any lack of data syncing with the search engine leads to discrepancies in search results and a negative user experience.
SearchAssist automatically crawls various data sources and discovers all the existing or newly added content. It further indexes the content from different document formats, including PDFs, images, and spreadsheets, and ensures that users receive the most up-to-date, relevant, and accurate information.
Integrations
SearchAssist offers prebuilt connectors that enable organizations to easily access and index the content from multiple documents stored in different enterprise applications. Using connectors, SearchAssist delivers a connected search experience and answers search queries in a unified format by accessing the fragmented data distributed in disparate systems.
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