Knowledge Base
The Knowledge Base is where you teach your AI Agent what to know and how to answer customer questions. Access it through AI > Knowledge Base.
| Method | Best For |
|---|---|
| FAQs | Specific questions with precise answers and behavioral instructions |
| Documents | Large bodies of reference content (product info, policies, guides) |
| Self-Learned | Q&A pairs the AI discovers automatically from real conversations |
FAQs
FAQs are essentially prompts for the AI Agent. Each FAQ entry has three components:- Question(s): The customer query — add multiple variations so the AI can match different phrasings
- Answer: The response the AI should provide
- Instructions: Special behavioral guidance for this specific FAQ (optional)
Writing Effective Questions
Add multiple variations of the same question so the AI can identify it regardless of how customers phrase it:Writing Effective Answers
Keep answers concise but complete. Use bullet points for multi-step or multi-item responses. Include links where relevant.Using Instructions for Controlled Responses
The Instructions field lets you add behavioral rules specific to this FAQ — without affecting the rest of the AI’s behavior. Basic instructions:FAQ Best Practices
- Include multiple question variations — different phrasings, abbreviations, and common misspellings
- Keep answers factual — the AI will not fabricate information, but vague answers lead to vague responses
- Use instructions for edge cases — handle follow-up logic, escalations, and conditional behavior here
- Review regularly — add new FAQs for recurring questions you see in conversations
Documents
Documents let you upload large bodies of reference content that the AI searches when answering questions. This is ideal for:- Product documentation
- Company policies and procedures
- Pricing sheets
- Onboarding guides
- Technical specifications
Recommended Document Formats
1. Q&A Format (Most Effective) Structure content as question-answer pairs. This directly mirrors how the AI processes queries and produces the most reliable results.The AI searches documents for relevant sections when answering questions. Well-structured documents with clear headings and labeled sections produce better results than unformatted walls of text.
Self-Learned Context

Self Learned Context Requires Review

- You want tight quality control over what the AI learns
- Your team’s responses may include information not appropriate for all customers
- You’re in an early stage of AI deployment
Knowledge Base Optimization Tips
Quality over quantity. Start with a small set of high-quality FAQs covering your most common questions. A well-written FAQ with good instructions outperforms ten vague ones. Test with real questions. After adding FAQs, test them by sending actual customer questions through the AI and reviewing the responses in Logs. Fill gaps over time. Monitor AI conversations to identify questions the AI is handling poorly or escalating too often. Add or refine FAQs for those topics. Avoid conflicting content. If multiple FAQ entries or documents cover the same topic with different answers, the AI may give inconsistent responses. Keep your knowledge base clean. Review self-learned entries regularly. Self-learned context is valuable but requires curation. Schedule a regular review of pending entries to keep your knowledge base growing accurately.Next Steps
- Personalization - Define the AI’s role, personality, and instructions
- Built-in Tools - Configure what actions the AI can take
- Custom Tools - Connect the AI to your own APIs