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Chatbots & Messaging Bots

Portfolio Resume Chatbot with Gemini, Google Drive and NocoDB

When a resume file is added or updated in Google Drive, it is embedded with Gemini and a chatbot answers visitor questions about the person.

What it does

# Personal Portfolio Resume CV Chatbot ## Overview Automated workflow: Personal Portfolio Resume CV Chatbot. This workflow integrates 19 different services: stickyNote, textSplitterRecursiveCharacterTextSplitter, scheduleTrigger, documentDefaultDataLoader, stopAndError. It contains 50 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 50 - Node Types: 19 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Embeddings Google Gemini: embeddingsGoogleGemini - Sticky Note1: stickyNote - Sticky Note3: stickyNote - Schedule Trigger: scheduleTrigger - Sticky Note4: stickyNote - Sticky Note5: stickyNote - Sticky Note: stickyNote - Sticky Note6: stickyNote - Sticky Note7: stickyNote - Sticky Note8: stickyNote - ... and 40 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. Embeddings Google Gemini
  2. Schedule Trigger
  3. Google Gemini Chat Model
  4. Google Drive - Resume CV File Created
  5. Google Drive - Resume CV File Updated
  6. Download CV File From Google Drive
  7. Pinecone - Vector Store forr CV Content
  8. CV File Data Loader
  9. CV content - Recursive Character Text Splitter
  10. Chat API - webhook
  11. Personal CV AI Agent Assistant
  12. Chat API Response - Webhook
  13. Chat Memory - Window Buffer
  14. Resume lookup : Vector Store Tool

68 steps in total.

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