Abstract: Techniques are described herein for provided for augmenting graph networks. Upon receiving a request from an edge device, a graph system prompts a generative model and compares its output to a first graph network of nodes and edges based on similarity scores and degrees of separation. If an adequate response is not found, the graph system identifies and evaluates a second set of nodes outside the first graph network, extracts relevant metadata, and creates a second graph network with new relationships. Contextual natural language is generated from the metadata to form a response, which is returned to the edge device, and may involve controlling one or more assets or devices in response to the context of the request and/or the response.