This comprehensive n8n workflow automates the process of generating, managing, and logging follow-up emails triggered by external requests. It seamlessly integrates webhooks, language models, vector databases, and cloud services to deliver personalized follow-up communication efficiently.
The workflow begins with an HTTP webhook that receives data, which is then processed with a text splitter to prepare for semantic embedding. It generates embeddings with OpenAI’s language model and stores them in a Weaviate vector database. The stored vectors enable intelligent retrieval of relevant data for follow-up scenarios.
Using the retrieved information, the workflow employs a language model to generate context-aware follow-up emails. It logs each email status in Google Sheets for tracking and sends error alerts via Slack if any issues arise.
This workflow is particularly useful for customer support, sales follow-up, or any scenario requiring consistent and automated follow-up email communication driven by AI and data retrieval. It ensures timely, relevant, and documented email outreach, saving time and enhancing engagement.
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