Content verification systems and methods

A method comprising:

• obtaining, by a content generation large language model (LLM), a user prompt via a user interface rendered on a user device;
• generating, by the content generation LLM, a response to the user prompt responsive to obtaining the user prompt, wherein the content generation LLM is paired with one or more Retrieval Augmented Generation (RAG) sources, wherein the content generation LLM is configured to generate the response based on the one or more RAG sources and a static internal knowledge associated with the content generation LLM;
• transmitting, by the content generation LLM, the response to a verifier LLM;
• parsing, by the verifier LLM, the response into structured data;
• comparing, by the verifier LLM, the structured data with data stored in an entity, property, and relationship (ER) database, wherein the ER database is paired with the verifier LLM, and wherein the ER database comprises information from one or more external dynamic knowledge bases and the one or more RAG sources;
• determining, by the verifier LLM, correctness of the response based on the comparison;
• and
• outputting, by the verifier LLM, the correctness of the response on the user interface.

A non-transitory computer-readable storage medium having instructions stored thereupon which, when executed by a processor, cause the processor to:

• obtain, by a content generation large language model (LLM), a user prompt via a user interface rendered on a user device;
• generate, by the content generation LLM, a response to the user prompt responsive to obtaining the user prompt, wherein the content generation LLM is paired with one or more Retrieval Augmented Generation (RAG) sources, wherein the content generation LLM is configured to generate the response based on the one or more RAG sources and a static internal knowledge associated with the content generation LLM;
• transmit, by the content generation LLM, the response to a verifier LLM;
• parse, by the verifier LLM, the response into structured data;
• compare, by the verifier LLM, the structured data with data stored in an entity, property, and relationship (ER) database, wherein the ER database is paired with the verifier LLM, and wherein the ER database comprises information from one or more external dynamic knowledge bases and the one or more RAG sources;
• determine, by the verifier LLM, correctness of the response based on the comparison;
• and
• output, by the verifier LLM, the correctness of the response on the user interface.