Abstract: The disclosure concerns a method for generating a response to a query from a user or an agent using a vector embedding memory storing vectors and generated chunks of natural language text, and a graph-based memory storing information in the form of nodes interconnected by links. The method retrieves matching vectors from the vector embedding memory based on a semantic proximity of the stored vectors in the vector embedding memory with vectors generated based on the chunks of natural language text of the obtained query, determines and activates nodes stored in the graph-based memory based on a correspondence with the matching vectors and connected nodes based on links between the activated nodes, generates a response to the query based on chunks of text determined based on the semantic proximity, and based on determined chunks of text that correspond to the activated nodes as additional background information.