Automate Your Follow-Up Emails with AI and Vector Databases
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Streamline your customer communication by automating follow-up emails with this powerful workflow. Leverage AI and vector databases to personalize and optimize your outreach for maximum engagement.
About This Workflow
This n8n workflow is designed to automate and enhance your follow-up email campaigns. It starts by triggering via a webhook, then intelligently splits incoming data for processing. Using OpenAI embeddings and Weaviate vector storage, it creates a searchable knowledge base of your follow-up content. When new data arrives, it queries this vector store using a RAG (Retrieval Augmented Generation) agent powered by Anthropic's chat model. This agent retrieves relevant context and generates personalized follow-up messages, which are then logged to Google Sheets and can trigger Slack alerts for monitoring. This integration allows for dynamic, context-aware email automation, improving customer engagement and response rates.
Key Features
- AI-Powered Personalization: Dynamically generates follow-up messages using advanced AI models.
- Intelligent Data Handling: Splits and processes text data for effective AI consumption.
- Vector Database Integration: Utilizes Weaviate for efficient storage and retrieval of contextual information.
- Automated Logging & Alerting: Seamlessly logs campaign status to Google Sheets and sends Slack alerts for operational visibility.
How To Use
- Webhook Trigger: Configure your incoming data source to send a POST request to the "Webhook Trigger" node.
- Text Processing: The "Text Splitter" node will break down your incoming text data into manageable chunks.
- Embeddings & Storage: The "Embeddings" node generates vector representations, which are then inserted into your Weaviate instance via the "Weaviate Insert" node.
- Contextual Retrieval: When a new request comes in, "Weaviate Query" retrieves relevant information from your vector store.
- AI Agent & Memory: The "Vector Tool" and "Window Memory" nodes provide context to the "RAG Agent" for generating intelligent responses.
- Response Generation: The "Chat Model" (Anthropic) works with the agent to craft personalized email content.
- Logging & Alerts: The "Append Sheet" node logs the outcome to Google Sheets, and "Slack Alert" notifies your team of any errors.
Apps Used
Workflow JSON
{
"id": "b173f544-8f3a-4087-b583-83240b13d327",
"name": "Automate Your Follow-Up Emails with AI and Vector Databases",
"nodes": 8,
"category": "Marketing",
"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: b173f544-8f3a...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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