Intelligent digital content generation using first party data

A system for intelligent digital content generation using first-party data, the system comprising:

• a memory;
• and
• one or more processors communicatively coupled to the memory, the one or more processors configured to:
• generate a prompt vector based on a user prompt, the user prompt representing a question to be answered based on information indicated by first-party data;
• provide the prompt vector as input data to a first machine learning (ML) model to generate a result vector,
• wherein the result vector output by the first ML model, for the prompt vector, is a similar vector from a latent space representation of a vector database that is generated from the first-party data;
• perform a comparison of the prompt vector to the result vector;
• and
• based on a result of the comparison, output a sourced digital content item or an unsourced digital content item,
• wherein the sourced digital content item is generated by a one or more generative ML models based on the prompt vector, and
• wherein the unsourced digital content item is generated by the one or more generative ML models based on a custom prompt, the custom prompt based on the prompt vector.

A non-transitory computer-readable storage device comprising instructions that, when executed by one or more processors, cause the one or more processors to perform operations for intelligent digital content generation using first-party data, the operations comprising:

• generating a prompt vector based on a user prompt, the user prompt representing a question to be answered based on information indicated by first-party data;
• providing the prompt vector as input data to a first machine learning (ML) model to generate a result vector,
• wherein the result vector output by the first ML model, for the prompt vector, is a similar vector from a latent space representation of a vector database that is generated from the first-party data;
• performing a comparison of the prompt vector to the result vector;
• and
• based on a result of the comparison, outputting a sourced digital content item or an unsourced digital content item,
• wherein the sourced digital content item is generated by a one or more generative ML models based on the prompt vector, and
• wherein the unsourced digital content item is generated by the one or more generative ML models based on a custom prompt, the custom prompt based on the prompt vector.