What does Semantic Retrieval allow a large language model (LLM) to utilize?

Semantic Retrieval enables a large language model (LLM) to utilize similar and relevant historical business data from customer relationship management (CRM) systems. This method focuses on understanding and retrieving information based on the meaning and context of the data, rather than just matching keywords or phrases. By leveraging the historical data stored within CRM systems, the LLM can provide responses that are contextually aware, relevant to past interactions, and better aligned with user needs. This capability enhances the efficiency and accuracy of responses, allowing businesses to make informed decisions based on past client interactions and trends.

The other options do not reflect the true purpose of Semantic Retrieval, which is centered around extracting contextually relevant data, rather than utilizing random or simplified data that lacks historical significance or relevance.