Automated Order Shipped Notification to Vector Database
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This n8n workflow triggers on a webhook to process and store order shipped notification data in a Supabase vector database using Langchain. It splits text, generates embeddings, and inserts them for later retrieval.
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About This Workflow
Overview
This n8n workflow is designed to automatically process and store information related to order shipments. It utilizes a Webhook Trigger to receive incoming shipment data. The data is then processed by a Text Splitter and Embeddings node (using OpenAI) to prepare it for storage in a vector database. Finally, the Supabase Insert node stores this vectorized data in a Supabase instance, indexed for efficient retrieval. This allows for advanced querying and analysis of order shipped notifications.
Key Features
- Webhook Trigger: Initiate the workflow automatically upon receiving order shipment data.
- Text Splitting & Embedding: Prepare text data for vector storage with Langchain nodes.
- Vector Database Integration: Store and manage vectorized data efficiently in Supabase.
- Error Handling: Includes a
Slack Alertto notify on workflow failures.
How To Use
- Set up a
Webhook Triggerwith your desired path (e.g.,order-shipped-notification). - Configure the
Text SplitterandEmbeddingsnodes with your preferred settings. - Ensure your Supabase credentials and index name (
order_shipped_notification) are correctly set in theSupabase InsertandSupabase Querynodes. - Configure the
Append Sheetnode to log the results or errors. - Set up the
Slack Alertnode with your Slack credentials for error notifications.
Apps Used
Workflow JSON
{
"id": "d9c8b21d-9aad-444f-aa00-7b66a48fab77",
"name": "Automated Order Shipped Notification to Vector Database",
"nodes": 0,
"category": "Misc",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: d9c8b21d-9aad...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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