Library / Chatbots & Messaging Bots
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
- Embeddings Google Gemini
- Schedule Trigger
- Google Gemini Chat Model
- Google Drive - Resume CV File Created
- Google Drive - Resume CV File Updated
- Download CV File From Google Drive
- Pinecone - Vector Store forr CV Content
- CV File Data Loader
- CV content - Recursive Character Text Splitter
- Chat API - webhook
- Personal CV AI Agent Assistant
- Chat API Response - Webhook
- Chat Memory - Window Buffer
- Resume lookup : Vector Store Tool
68 steps in total.
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