Knowledge bases are a comprehensive repository of information made up of several different kinds of content. All of this information allows businesses to efficiently manage, access, and leverage diverse forms of data to enhance the effectiveness of the agent.For each knowledge base, you need to choose a vector store. Vector stores are specialized data stores that enable indexing and retrieving information based on vector representations. These vectors, called embeddings, capture the semantic meaning of data that has been embedded.
Customer Support & FAQs: Answer customer queries using a knowledge base of FAQs, policy documents, and support articles. Example: A Banking FAQ Agent that retrieves loan terms and policy details.
HR & Employee Assistance: Help employees get quick answers on company policies, benefits, and leave policies. Example: A Company Handbook Agent that pulls details from an HR knowledge base.
Personalized Learning Assistants: Answer student queries by pulling from educational resources and textbooks. Example: A Math Help Agent that retrieves formulas and solutions from a pre-uploaded curriculum.
Assistant
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