Knowledge attribution and answer validation platform for generative ai output

A knowledge attribution system, comprising:

• a knowledge base comprising one or more source documents, each source document having one or more document segments;
• an image repository comprising a plurality of knowledge validation images, wherein each of the knowledge validation images is associated with one of the document segments;
• a knowledge database comprising a plurality of knowledge elements, each knowledge element representing one of the document segments of each source document, each knowledge element having attribution metadata associating the knowledge element to the knowledge validation image of the document segment;
• and
• a knowledge attribution engine having a response generation module, the knowledge attribution engine is adapted to receive a user query, conduct a similarity search of the knowledge database directed at the knowledge elements of one of the source documents and retrieve one or more response candidate elements as search results, each response candidate element corresponding to one of the knowledge elements which are relevant to the user query, the knowledge attribution engine is further adapted to generate an augmented query which instructs the response generation module to produce a response generation output utilizing at least one of the response candidate elements, the response generation output comprising a generated response text which answers the user query, and the attribution metadata of each response candidate element which is utilized to produce the generated response text, the knowledge attribution engine is further adapted to retrieve the knowledge validation image of each of the utilized response candidate elements from the image repository using the attribution metadata within the response generation output, to serve as proof-of-answer for the generated response text.