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

June 26, 2025
Time: 12:00PM - 1:00PM EST
Vishal - Senior Elastic Engineer
Naman Agrawal
Elastic Engineer
Vishal - Senior Elastic Engineer
Vishwajeet Thakur
Senior Software Developer
Jessica Aaron
User Success Manager
AMER: 9:00 a.m. PST, 12:00 p.m. EST
EMEA: 6:00 PM CET, 9:30 PM IST
APJ: 12:00 AM SGT, 03:00 AM AEDT
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.
    •  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.

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      Speakers

      Naman Agrawal
      Elastic Engineer

      Naman Agrawal is a DevOps Engineer with expertise in the Elastic Stack, Kubernetes, Terraform, and AWS. He specializes in observability, infrastructure as code, and building resilient CI/CD pipelines. An advocate for intelligent search, platform engineering, and next-gen DevOps strategies that drive real-world GenAI innovations, he enables high-performance, automated systems at scale. Naman holds a B.Tech in Computer Science from Medi-Caps University.

      Vishwajeet Thakur
      Senior Software Developer

      Vishwajeet Thakur is a Senior Software Developer with expertise in Python, Django, AWS, Kubernetes, and Terraform. He builds scalable microservices and data pipelines using FastAPI, Pydantic, Airflow, and Kafka. With a strong foundation in backend and cloud-native development, he’s delivered high-performance solutions for complex data processing. Vishwajeet holds a B.Tech in Electronics and Communication from NIT Arunachal Pradesh.

      Jessica Mary Aaron
      User Success Manager

      Jessica Mary Aaron is a dynamic business professional. At Hyperflex, she focuses on business development while also supporting brand marketing initiatives. Jessica’s career spans content creation, strategic marketing, and startup leadership, including co-founding a digital marketing agency. She holds a PGP in Technology and Business Management from Masters' Union and a BCom in Marketing from Bhawanipur Education Society College.