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Elasticsearch is not merely a data store with a sophisticated relevance engine for creating contextual interactions with Generative AI (GenAI). It also offers advanced data processing capabilities that, when combined with GenAI's analytics prowess, provide deep insights and actionable advice. This synergy makes data not only more accessible but also easier to interpret and utilize.
Elasticsearch's data processing APIs can efficiently handle vast amounts of data, while GenAI can interpret these results to offer meaningful and actionable insights. This powerful combination can lead to the development of Retrieval-Augmented Generation (RAG) applications that intelligently support decision-making processes by detecting patterns, anomalies, and trends that might otherwise go unnoticed.
In this meetup, we will build one such application: the Elastic Change-Points Advisor. This application combines Elasticsearch's change-point aggregation, which detects spikes, dips, and change points in metrics, with GenAI to provide actionable, intelligent advice.