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This tutorial demonstrates how to build an intelligent agent that converts natural language text into Elasticsearch queries. Learn the step-by-step process of creating a RAG (Retrieval-Augmented Generation) system that allows users to query Elasticsearch using everyday language instead of complex query syntax. Follow along with the comprehensive GitHub repository containing all necessary code and resources. Perfect for data scientists and machine learning engineers looking to enhance search capabilities with natural language processing techniques.
