Your agent’s knowledge base is the foundation of its ability to provide accurate, relevant, and business-specific responses. While Large Language Models (LLMs) possess broad general knowledge, they need your specific business information to truly represent your brand and serve your customers effectively.
Think of your agent as a new employee joining your team. Just as you would provide comprehensive training materials to ensure they understand your:
Product details and specifications
Company policies and procedures
Brand voice and communication guidelines
Customer service protocols
Frequently asked questions
Technical documentation
Your AI agent needs similar knowledge to perform effectively. Without proper knowledge configuration, even the most advanced LLM can only provide generic responses that may not align with your business needs.
When you provide your agent with high-quality, relevant knowledge:
It can answer specific questions about your products and services with precision
Responses align perfectly with your company policies and procedures
Communication maintains consistency with your brand voice
Customer inquiries are handled according to your established protocols
Complex technical questions can be addressed with accurate, documented information
To build this knowledge base effectively, start by gathering the essential materials you use for employee training—including product manuals, internal wikis, company policies, and customer service guidelines. These resources will serve as the foundation for your agent’s expertise.