The future of search is semantic, conversational, and grounded in real-time enterprise data: Ravindra Ramnani, Elastic

In a recent interaction with Express Computer, Ravindra Ramnani, Senior Manager, Solutions Architecture at Elastic, offers a deep dive into how AI is fundamentally reshaping enterprise search experiences. Moving beyond simple keyword matching, Elastic is leveraging semantic search, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to create more intuitive, accurate, and multimodal search systems.

How is AI transforming the search experience, and what sets AI-driven search apart from traditional search engines?

Every search begins with a question, but how do search engines ensure you get the right answer or information? Search engines have commonly relied on lexical or keyword search, a system built on matching exact keywords or phrases in documents to those in a user’s query. While this approach generally works well on broad types of data, this method can encounter challenges when faced with misspellings, synonyms, or ambiguous phrasing.

The integration of AI into ...