Retrieval augmented generation guided automated event detection using machine learning models

Abstract

Techniques described herein involve automated event detection using retrieval augmented generation and machine learning models. Embodiments include creating a directed graph for each of a plurality of interactive sessions based on attributes associated with the interactive sessions and generating an embedding of the directed graph for each of the plurality of interactive sessions. Embodiments include storing the embedding of the directed graph for each of the plurality of interactive sessions in a vector database and, in response to an input session, retrieving one or more embeddings related to the input session from the vector database. Embodiments include selecting a subset of the one or more embeddings based on a prompt provided to a language processing machine learning model. Embodiments include comparing features associated with the subset of the one or more embeddings to features associated with an embedding of the input session and performing an action based on the comparing.