Providing customized services to users of data processing systems using consensus responses

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for providing customized services to users of data processing systems, the operations comprising:

• making an identification that sufficient contextual information for a query from a first user of the users is unavailable from a first data source;
• based on the identification:
• identifying, based on the first user, a plurality of other data sources;
• obtaining, from the plurality of other data sources and based on the query, corresponding portions of supplemental contextual information for the query;
• obtaining, based on performing a similarity analysis of the corresponding portions of the supplemental contextual information, a consensus response for a portion of the sufficient contextual information that is unavailable from the first data source to obtain the sufficient contextual information, the consensus response including metadata indicating the data sources used to obtain the consensus response;
• generating an ingest data package that is a data structure comprising:
• the query;
• and the consensus response for the portion of the sufficient contextual information that is unavailable from the first data source;
• and
• servicing the query using the ingest data package, with the query of the ingest data package as a prompt for an artificial intelligence model and with the consensus response of the ingest data package as the sufficient contextual information as context for the prompt to obtain a response usable to provision computer-implemented services to at least the first user.

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations for providing customized services to users of data processing systems, the operations comprising:
• making an identification that sufficient contextual information for a query from a first user of the users is unavailable from a first data source;
• based on the identification:
• identifying, based on the first user, a plurality of other data sources;
• obtaining, from the plurality of other data sources and based on the query, corresponding portions of supplemental contextual information for the query;
• obtaining, based on performing a similarity analysis of the corresponding portions of the supplemental contextual information, a consensus response for a portion of the sufficient contextual information that is unavailable from the first data source to obtain the sufficient contextual information, the consensus response including metadata indicating the data sources used to obtain the consensus response;
• generating an ingest data package that is a data structure comprising:
• the query;
• and the consensus response for the portion of the sufficient contextual information that is unavailable from the first data source;
• and
• servicing the query using the ingest data package, with the query of the ingest data package as a prompt for an artificial intelligence model and with the consensus response of the ingest data package as the sufficient contextual information as context for the prompt to obtain a response usable to provision computer implemented services to at least the first user.