Gmail to Structured Metadata Generator (EN/ZH)
detail.loadingPreview
Automatically extracts and generates structured metadata from Gmail emails in both English and Chinese using AI.
About This Workflow
This workflow automates the process of transforming unstructured email content from Gmail into structured metadata. It leverages AI models to classify text, generate embeddings, and ultimately produce metadata in both English and Chinese, which can then be stored or used for further processing.
Key Features
- Triggers on new Gmail emails.
- Classifies email content using AI.
- Generates embeddings for semantic understanding.
- Utilizes AI Agents for complex reasoning and metadata generation.
- Supports Ollama for local LLM execution.
- Stores vector embeddings in Pinecone.
- Labels and sends processed emails via Gmail.
How To Use
- Gmail Trigger: Configure the
Gmail Triggernode to listen for incoming emails. - Text Classifier: The
Text Classifiernode will analyze the email content. - Ollama Models:
Ollama ModelandOllama Chat Modelprovide the language models for classification and agent tasks. Ensure your Ollama instance is running and configured. - AI Agent: The
AI Agentnode orchestrates the AI tasks, utilizingSimple Memoryfor context. - Embeddings & Vector Store:
Embeddings Ollamagenerates embeddings, which are then stored inPinecone Vector Storefor efficient retrieval. - Gmail Actions: The
Labelnode applies labels to processed emails, and theSendnode can be configured for further outbound communication or notifications.
Apps Used
Workflow JSON
{
"id": "43ed73cf-9b55-4345-9070-a5936d3ff114",
"name": "Gmail to Structured Metadata Generator (EN/ZH)",
"nodes": 15,
"category": "AI",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 43ed73cf-9b55...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
DeepSeek AI Agent with Telegram and Long-Term Memory
A Telegram bot powered by DeepSeek AI that leverages long-term memory for personalized conversations and information storage.
AI-Powered Slack Bot for Automation Support
A workflow that receives messages via Slack webhook, processes them using an AI agent (Google Gemini) with conversational memory, and sends a response back to Slack.
OpenAI Assistant with Custom Fictional Country Tools
This workflow leverages an OpenAI Assistant to interact with custom tools for retrieving fictional country capitals and the current date.