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AI Agents & Assistants

Run Claude and Gemini Web Queries with Semantic Re-Ranking

When a webhook receives a query, Claude and Gemini build structured search queries, gather web results and re-rank them semantically before responding.

What it does

# Intelligent Web Query and Semantic Re-Ranking Flow ## Overview Automated workflow: Intelligent Web Query and Semantic Re-Ranking Flow. This workflow integrates 13 different services: webhook, stickyNote, httpRequest, code, lmChatGoogleGemini. It contains 31 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 31 - Node Types: 13 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Sticky Note4: stickyNote - Sticky Note: stickyNote - Date & Time: dateTime - Webhook: webhook - Auto-fixing Output Parser6: outputParserAutofixing - Auto-fixing Output Parser: outputParserAutofixing - Structured Output Parser1: outputParserStructured - Query-1 Combined: code - Respond to Webhook: respondToWebhook - Semantic Search - Result Re-Ranker: chainLlm - ... and 21 more nodes ## 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. Date & Time
  2. Webhook
  3. Auto-fixing Output Parser6
  4. Auto-fixing Output Parser
  5. Structured Output Parser1
  6. Query-1 Combined
  7. Respond to Webhook
  8. Semantic Search - Result Re-Ranker
  9. Query
  10. Webhook Call
  11. Semantic Search -Query Maker
  12. Anthropic Chat Model
  13. OpenAI Chat Model
  14. Structured Output Parser2

56 steps in total.

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