This n8n workflow automates the process of notifying stakeholders via WhatsApp about new appointments, while also leveraging AI to process and store appointment details for future reference. It streamlines communication and data management for appointment-based services.
The workflow is triggered by an HTTP POST request to a specific webhook endpoint (‘appointment-whatsapp-notify’). Once triggered, it begins with a Sticky Note for documentation purposes.
Next, the Webhook node captures incoming appointment data, which is then split into manageable chunks by the Text Splitter node. This chunked data is processed with the OpenAI Embeddings node to generate vector representations, which are inserted into a Supabase vector store for efficient retrieval.
Simultaneously, the workflow utilizes Langchain’s Vector Tool and Memory Buffer to maintain context and manage data flow. A Chat Model equipped with OpenAI’s language model handles natural language understanding and processing.
A key component is the RAG (Retrieval-Augmented Generation) Agent, which integrates the AI models with the stored data, enabling intelligent processing of appointment information. The processed data is appended as a log entry into a Google Sheets document for record-keeping.
If an error occurs during processing, the workflow sends a Slack alert to notify administrators. Overall, this workflow simplifies appointment notifications, ensures data retention, and enhances communication efficiency, making it ideal for appointment scheduling services, clinics, or any organization needing automated notifications and data management.
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