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AI Agents & Assistants

Research Questions with Jina AI DeepSearch

When you run it with a research query, it sends the question to Jina AI DeepSearch and formats the cleaned answer.

What it does

# AI-Powered Research with Jina AI Deep Search ## Overview Automated workflow: AI-Powered Research with Jina AI Deep Search. This workflow integrates 5 different services: stickyNote, httpRequest, code, stopAndError, chatTrigger. It contains 8 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 8 - Node Types: 5 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Sticky Note: stickyNote - Sticky Note1: stickyNote - Sticky Note2: stickyNote - Jina AI DeepSearch Request: httpRequest - User Research Query Input: chatTrigger - Format & Clean AI Response: code - Error Handler: stopAndError - Error Handler for 42fd2f04: stopAndError ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. Manual Trigger
  2. Jina AI DeepSearch Request
  3. User Research Query Input
  4. Format & Clean AI Response
  5. Error Handler
  6. Error Handler for 42fd2f04
  7. Error Handler
  8. Error Handler
  9. Error Handler
  10. Error Handler

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