What you can do with this
- Build customer support agents that answer questions using your help documentation
- Create internal knowledge assistants to help employees find information quickly
- Develop product information bots that provide detailed specs and features
- Design training assistants for interactive learning experiences
- Ensure compliance with accurate information delivery for regulatory requirements
What you get
Knowledge-powered intelligence- Instant expertise: Your Agent immediately knows your content and can answer related questions
- Contextual responses: Provides accurate answers based on your specific information
- Content updates: Automatically stays current as you update your Knowledge Base
- Source citations: Can reference specific documents or sections when answering
- Domain expertise: Specialized knowledge in your specific field or industry
Step-by-step creation process
1
Click Create from Knowledge card
Navigate to the Create Agent page and click on the Create from Knowledge card to begin the process.

This opens a modal dialog where you can configure your knowledge-powered Agent.
2
Select Website data source and customize Agent
In the modal, select Website as the data source for training your Agent’s Knowledge Base and customize the Agent’s appearance:
Customization options:

- Data Source: Choose Website to train from web content
- Agent Icon: Select or change the icon representing your Agent
You can choose from various data sources and customize your Agent’s icon. Additional data source options will be introduced in future updates.
3
Configure Knowledge Base settings
Enter the 
Knowledge Base Name and Website Base URL, then configure
advanced scraping settings if needed.- Basic Configuration
- Advanced Settings

Optimal Settings: For most websites, the default settings (200 URLs, 20
levels deep) work well. Use the browser option for JavaScript-heavy sites,
and choose legacy scraper if you encounter compatibility issues with the
modern Crawl4AI engine.
4
Fetch and process content
Click the 
Scraping process: - Content discovery: System discovers and crawls web
pages, extracting content from each page - Data processing: Cleans and
organizes extracted content for optimal training preparation
Fetch Links button to begin the web scraping process.- Pre-fetch
- While fetching

The fetching process may take several minutes depending on the size of your
website and the number of pages to scrape.
5
Train the Knowledge Base
After content is successfully fetched, click 
Page selection options: - Select the pages you want to train - Deselect
the pages you don’t need - View metadata about the number of words fetched
for each pageTraining process: - Vector storage: Content is converted to vector
embeddings and stored in vector databases for fast retrieval - Index
optimization: Creates efficient search and retrieval system for AI responses
Train to process and train your
Knowledge Base.- Pre-training
- While training
- Post-training

6
Agent creation complete
Your knowledge-powered Agent is now ready!
What happens automatically: - Agent creation: Agent is created with
your specified name and Knowledge Base gambit connected - Ready to use:
Agent can immediately answer questions based on your website content

Content Quality: The effectiveness of your Agent depends on the quality
and organization of your source content. Ensure your website is
well-structured and comprehensive.
Content Updates: If your source website changes significantly,
you may need to retrain your Knowledge Base to ensure the Agent has access to
the latest information.
