Course title

Elasticsearch Relevance Engine (ESRE) Engineer

Develop the skills and knowledge required to build RAG applications using natural language and deliver highly relevant results, generate contextually rich content, and solve real-world problems.


Course summary

In this course, students will learn how to leverage the Elasticsearch Relevance Engine (ESRE) and large language models (LLMs) to build advanced RAG (Retrieval-Augmented Generation) applications that combine the storage, processing, and search features of Elasticsearch with the generative power of an LLM.


Through lessons and hands-on labs, students will develop the skills and knowledge required to build RAG applications using natural language and deliver highly relevant results, generate contextually rich content, and solve real-world problems.


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Topics

  • ESRE Overview
  • Retrieving Data from Elasticsearch
  • Application Integration with Elasticsearch
  • Full-Text Search
  • Semantic Search
  • Developing a GenAI Application
  • Developing a RAG Application
  • Elastic AI Assistant


Topics

Audience

Duration

Pre-Reqs

Requirements

See full, ,Elasticsearch Relevance Engine (ESRE) Engineer (On-Demand), ,schedule

Course type

On-Demand

Course details

Language
English
Cost
$2700 USD