Customized, personalized, and extendable large language model (llm)-enhanced virtual assistants

A non-transitory computer-readable storage medium storing processor-executable instructions configured to cause one or more processors to:

• receive first information about one or more data sources;
• receive, from a first client device, an expression;
• access the one or more data sources based on the expression to retrieve contextual information based on the expression;
• receive additional information from one or more services, where at least one service of the one or more services is accessed using an integration interface;
• receive, from an LLM, a response to a prompt, the prompt based on the expression, the contextual information, and the additional information;
• and
• output, to the first client device, the response.

A system comprising:

• one or more non-transitory computer-readable media;
• and
• one or more processors communicatively coupled to the one or more non-transitory computer-readable media, the one or more processors configured to execute processor-executable instructions stored in the non-transitory computer-readable media to:
• receive first information about one or more data sources;
• receive, from a first client device, an expression;
• access the one or more data sources based on the expression to retrieve contextual information based on the expression;
• receive additional information from one or more services, where at least one service of the one or more services is accessed using an integration interface;
• receive, from an LLM, a response to a prompt, the prompt based on the expression, the contextual information, and the additional information;
• and
• output, to the first client device, the response.