What is Kore.ai?
Kore.ai empowers businesses around the globe to leverage artificial intelligence for enhancing automation, boosting efficiency, and improving customer engagement via its sophisticated AI agent platform and user-friendly no-code development tools. Focused on automating work processes with AI, optimizing operations, and delivering smart service solutions, Kore.ai equips organizations with adaptable and scalable technology that accelerates their journey toward digital transformation. The company adopts a model-agnostic strategy, providing the flexibility needed to integrate various data sources, cloud infrastructures, and applications to cater to the unique requirements of different enterprises. With a proven history of success, Kore.ai has earned the trust of more than 500 partners and over 400 Fortune 2000 companies to advance their AI initiatives and foster innovation. Acknowledged as a frontrunner in the industry, bolstered by a vast portfolio of patents, it consistently strives to redefine the landscape of AI-driven solutions. Headquartered in Orlando, the company boasts a global footprint with offices in countries such as India, the UK, the Middle East, Japan, South Korea, and throughout Europe, ensuring that its clients receive extensive support. As it continues to innovate with state-of-the-art AI technologies, Kore.ai is playing a pivotal role in transforming enterprise automation and enhancing intelligent interactions with customers, paving the way for a future where AI integration is seamless and effective.
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Kore.ai Search AI product
Date: Jun 03 2025SummaryVery satisfied with the search experience, accuracy of the results and performance. Lot many content sources to integrate, flexible model library, prompt library support, evaluation studio to validate the generated results, analytics to check on most frequently used search terms, ability to collect user feedback etc.
PositiveEasy to configure, no-code solution, out of bot integration with major content sources like SharePoint, Service now, Confluence, Oracle Knowledge, Google Drive, Azure Blob, One drive etc.. Has debug window which allows to analyze which chunks been sent to LLM and how many were used by LLM, and tokens been consumed, prompt template support, different LLM model integration support, business rules abased filtering, support advanced RAG, chunk overlapping and other adv. features
NegativeNot much as I know, better to support Video and Image searches which is in the future road map.
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