Search That Thinks: How RAG and ESRE Can Elevate GenAI Exper

​Overview

​This webinar explores the implementation of Retrieval-Augmented Generation (RAG) using Elastic Search Relevance Engine (ESRE), addressing common challenges in GenAI applications. It covers the evolution of search—from keyword and full-text to vector and hybrid approaches—highlighting trade-offs and strategies for effective retrieval. Attendees will gain practical insights into building scalable, intelligent search systems that power next-gen AI solutions.

​What You'll Learn

• ​The core challenges in building effective GenAI applications

• ​How Retrieval-Augmented Generation (RAG) enhances AI performance

• ​Key differences and trade-offs between keyword, full-text, vector, and hybrid search

• ​How to implement and optimize RAG using Elastic Search Relevance Engine (ESRE)

​Real-World Applications

• ​Explore how Retrieval-Augmented Generation (RAG) and Elasticsearch Relevance Engine (ESRE) are used to extract meaningful insights from unstructured data across various domains.

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• ​This session will highlight how organizations are applying advanced search techniques—like hybrid and semantic search—to enhance decision-making, automate information retrieval, and build smarter GenAI applications.