Documentation Index
Fetch the complete documentation index at: https://docs.meetzy.io/llms.txt
Use this file to discover all available pages before exploring further.
What is the Knowledge Base?
The Knowledge Base is where you provide your agent with information it can reference during conversations. This includes product documentation, FAQs, company policies, pricing information, and any other content your agent needs to answer customer questions accurately.A well-populated Knowledge Base significantly improves your agentβs ability to provide accurate, helpful responses by giving it access to your specific business information.
Adding Documents
You can add knowledge to your agent in three ways:- URL Import
- Text Entry
- File Upload
Import content directly from web pages.
Best for: Product pages, help center articles, documentation sites, pricing pages.
Usage Modes
Each document in your Knowledge Base can be configured with one of two usage modes:| Mode | Icon | Description | When to Use |
|---|---|---|---|
| Auto Search | π | Agent searches this document only when relevant to the conversation | Large documents, extensive catalogs, reference materials |
| In Prompt | π | Content is always included in the agentβs context for every conversation | Critical info, company details, core policies |
Understanding Usage Modes
Auto Search uses semantic search to find relevant portions of documents when needed, making conversations more efficient and cost-effective.
Auto Search Mode
- How it works: The agent automatically searches through the document when it detects the conversation topic is relevant
- Performance: Efficient for large documents - only retrieves relevant sections
- Cost: Lower cost as only relevant portions are processed
- Best practices: Use for comprehensive guides, product catalogs, detailed FAQs
In Prompt Mode
- How it works: The document content is included in the agentβs context for every single conversation
- Performance: Immediate access to information but can slow down responses
- Cost: Higher cost as content is processed in every conversation
- Best practices: Use only for critical information under 1000 characters
Managing Documents
Document List View
The Knowledge Base displays all your documents in a organized list showing:| Column | Description |
|---|---|
| Name | Document title (editable) |
| Type | Visual indicator: π URL, π Text, π File |
| Mode | Usage mode: π Auto Search or π In Prompt |
| Preview | First few lines of content |
| Actions | Edit (βοΈ) and Delete (ποΈ) buttons |
Real-Time Editing
Document changes take effect immediately - your agent will have access to updated information in new conversations right away.
Dynamic Content Loading
For text and URL documents, the system provides:- Preview in the main list for quick reference
- Full content loading when editing for complete document access
- Real-time content updates that sync with your agentβs knowledge
Document Deletion
Best Practices
Content Organization
- Keep Current: Regularly update documents to reflect latest information
- Be Specific: Include exact phrases and terms customers might use
- Structure Well: Use clear headings, bullet points, and organized sections
- Avoid Duplication: Donβt repeat the same information across multiple documents
Usage Mode Strategy
- Auto Search for: Large documents, comprehensive guides, detailed product info
- In Prompt for: Company name, key contact info, essential policies (keep under 1000 chars)
Performance Optimization
- Test Regularly: Verify the agent can find and use information correctly
- Monitor Conversations: Review how the agent uses knowledge base content
- Optimize Content: Remove outdated or redundant information
Example Knowledge Base Structure
Hereβs a recommended structure for organizing your knowledge base:Integration with Agent Context
Your Knowledge Base documents are dynamically integrated into your agentβs conversational context:- Semantic Search: Auto Search documents are searched based on conversation relevance
- Context Injection: In Prompt documents are always available in the agentβs working memory
- Real-Time Updates: Changes to documents are immediately available to the agent
- Intelligent Retrieval: The system automatically selects the most relevant information
Troubleshooting
Common Issues
Agent canβt find information:- Verify the document is saved and shows in the Knowledge Base list
- Try using Auto Search mode for better semantic matching
- Include variations of keywords customers might use
- Check if you have too many In Prompt documents
- Consider moving large documents to Auto Search mode
- Review total character count of In Prompt content
- Update documents directly in the Knowledge Base
- Changes take effect immediately in new conversations
- Consider setting up regular review schedules
Next Steps
Actions & Tools
Configure integrations and external tools
Playground
Test your agent with the knowledge base

