Abstract: A system and method for enhancing response generation to knowledgebase queries based on unified identity detection is presented. The method includes detecting of a computing environment a first identity identifier of a first identity; detecting of the computing environment a second identity identifier of a second identity; detecting a unified identity based on the first identity identifier and the second identity identifier; generating a representation of the unified identity; and generating in a knowledge graph a representation of the first identity, a representation of the second identity, and a representation of the unified identity, wherein the representation of the unified identity is connected to the representation of the first identity and connected to the representation of the second identity.

Abstract: A system and method for generating a query response from a knowledgebase is presented. The method includes: generating a knowledge graph based on a plurality of data sources of a computing environment, the knowledge graph including a plurality of nodes representing computing environment entities; receiving a natural language query; extracting from the natural language query at least a computing environment entity; traversing the knowledge graph to detect a second node connected to a first node representing the computing environment entity; generating a context for a language model including data extracted from the second node; generating a prompt for the language model based on the generated context and the received natural language query; and processing the prompt to generate a response.

Abstract: A system and method for enhancing query response is presented. The method includes detecting a first identifier of a first identity; detecting a second identifier of a second identity; applying a set of heuristics to the first identifier and to the second identifier to detect a unified identity; generating in a knowledge graph a representation of the first identity, of the second identity, and of the unified identity, wherein the unified identity is connected to the first identity and the second identity; receiving a natural language query; detecting in the received query an identity identifier; traversing the knowledge graph to match the identity identifier to the unified identity; generating a context for a language model based on any one of: the first identity, the second identity, and a combination thereof; generating a prompt based on the context and the query; and processing the prompt to generate a response.