Building AI-powered Search Experiences

What happens when search moves beyond keywords and starts understanding intent?

This report explores how AI-powered search is changing the way organisations connect users with the information they need. As expectations rise for faster, more relevant and more personalised experiences, traditional keyword search is no longer enough on its own. In its place, a smarter model is emerging: one built on AI, vector search, semantic search and retrieval augmented generation.

In this report, you’ll learn:
• Why search relevance is the foundation of effective digital experiences
• How vector search helps uncover meaning beyond exact keyword matches
• Where generative AI can support more natural, conversational search experiences
• How retrieval augmented generation connects private data with large language models
• Why structured and unstructured data both matter to search performance
• The role of privacy, access controls and monitoring in AI-powered search
• How observability and analytics help teams improve search over time

It also outlines how organisations can build search experiences that are more accurate, personalised and useful, while keeping control over data, performance and security.

Access the full report to explore what it takes to build AI-powered search experiences that feel faster, smarter and more relevant.

This content has been created and paid for by Elastic

Log In

  |  Forgot your password?