Data Connectors
Connect your knowledge sources to power your AI agents with up-to-date, relevant information from across your organization.
Overview
Data integrations allow you to sync content from various sources into your knowledge base. Your AI agents use this data to provide accurate, contextual responses grounded in your organization's information.
Why Data Integrations Matter
Single Source of Truth: Centralize knowledge from multiple platforms
Always Up-to-Date: Automatic syncing keeps your knowledge base current
Secure Access: Maintain security boundaries and permissions
Rich Context: Provide agents with comprehensive information for better responses
Available Integrations
File-Based Sources
File Upload: Upload PDFs, documents, and other files directly
CSV Data Import: Import structured data from spreadsheets
QnA CSV: Bulk upload question-answer pairs
Web Content
Website Crawling: Automatically crawl and index website content
Sitemap Integration: Use sitemaps for efficient website indexing
Cloud Storage
Google Drive: Sync documents, spreadsheets, and presentations
Microsoft OneDrive: Connect personal and business OneDrive accounts
Microsoft SharePoint: Access team sites and document libraries
Collaboration & Support Tools
Confluence: Sync wiki pages and spaces
Slack: Index conversations and shared knowledge
Zendesk: Import support articles and tickets
Getting Started
Choose Your Sources: Identify which platforms contain your critical knowledge
Set Up Connections: Follow the integration-specific guides to authenticate and configure
Configure Sync Settings: Set sync frequency, filters, and permissions
Test & Validate: Verify data is flowing correctly and agents can access it
Monitor & Maintain: Keep integrations healthy with regular monitoring
Integration Features
Automatic Syncing
Most integrations support automatic incremental sync to keep your knowledge base updated without manual intervention.
Selective Import
Configure filters to sync only relevant content, reducing noise and improving agent accuracy.
Permission Mapping
Maintain source system permissions to ensure users only access data they're authorized to see.
Metadata Preservation
Important metadata like authors, dates, and tags are preserved for better context and filtering.
Best Practices
Start Small: Begin with one or two critical sources before expanding
Set Appropriate Sync Intervals: Balance freshness with API rate limits
Use Filters Wisely: Exclude archived, draft, or irrelevant content
Monitor Data Quality: Regularly review what's being synced
Document Your Setup: Keep notes on filters, permissions, and configurations
Common Use Cases
Customer Support Teams
Sync Zendesk articles, Confluence docs, and Slack channels to provide agents with comprehensive support knowledge.
Engineering Teams
Connect GitHub wikis, Confluence spaces, and Google Drive folders containing technical documentation.
Sales & Marketing
Integrate product docs, marketing materials from Drive/SharePoint, and competitive intelligence.
HR & Operations
Sync policy documents, training materials, and internal wikis for employee self-service.
Troubleshooting
Having issues? Check our Data Integration Solutions section for common problems and fixes.
Need Help?
Review the Overview Guide for general data source concepts
Check integration-specific documentation for detailed setup instructions
Contact support if you encounter authentication or sync issues
Next Steps
Choose an integration from the list above to get started, or read the Overview for more context on how data integrations work.
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