Automate Quality Defect Classification with AI
detail.loadingPreview
Leverage the power of AI to automatically classify quality defects. This n8n workflow integrates with Langchain and Redis to process incoming defect reports, understand their nature, and log them efficiently.
About This Workflow
The Quality Defect Classifier workflow streamlines the process of identifying and categorizing product quality issues. It begins by receiving defect reports via a webhook. These reports are then intelligently chunked and converted into embeddings using OpenAI. The embeddings are stored in a Redis vector store for efficient retrieval. When a new defect is reported, the system queries the vector store to find similar past issues and then utilizes an Anthropic language model, guided by an agent, to determine the defect's classification. The final classification and relevant details are logged to a Google Sheet for further analysis and action. This workflow significantly reduces manual effort in quality control, enabling faster issue resolution and improved product quality.
Key Features
- Automated Defect Ingestion: Seamlessly receives defect reports through a customizable webhook.
- AI-Powered Classification: Utilizes advanced language models (OpenAI embeddings, Anthropic chat) for accurate defect categorization.
- Intelligent Data Storage: Employs Redis as a vector store for efficient semantic search and retrieval of defect information.
- Contextual Understanding: Leverages memory and agent capabilities to maintain conversation context and make informed classification decisions.
- Centralized Logging: Automatically logs classified defects to a Google Sheet for easy access and analysis.
How To Use
- Webhook Setup: Configure the
Webhooknode with your desired path (e.g.,quality_defect_classifier) to receive incoming defect data. - Text Splitting: Adjust the
Splitternode'schunkSizeandchunkOverlapparameters to optimize text segmentation for embedding. - Embedding Generation: Ensure your
Embeddingsnode is correctly configured with your OpenAI API credentials to generate vector representations of the text. - Vector Store Insertion: Set up the
Insertnode for thevectorStoreRedisto connect to your Redis instance and specify theindexNamefor storing defect embeddings. - Querying the Vector Store: Configure the
Querynode forvectorStoreRediswith the sameindexNameto retrieve similar defects. - Tool and Memory Configuration: Set up the
Toolnode to use your Redis vector store and theMemorynode to maintain conversational context for the agent. - Language Model Integration: Connect your preferred language model (e.g., Anthropic) to the
Chatnode. - Agent Orchestration: Configure the
Agentnode to define its behavior and how it interacts with the tools, memory, and language model. - Logging to Google Sheets: Set up the
Sheetnode with your Google Sheets OAuth2 API credentials and specify theSHEET_IDandLogsheet name for recording the classification results.
Apps Used
Workflow JSON
{
"id": "c356ece4-6355-4b47-baa8-c0d5ad2c2048",
"name": "Automate Quality Defect Classification with AI",
"nodes": 13,
"category": "Operations",
"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: c356ece4-6355...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Related Workflows
Discover more workflows you might like
Google Sheets to Icypeas: Automated Bulk Domain Scanning
This workflow streamlines the process of performing bulk domain scans by integrating your Google Sheets data directly with the Icypeas platform. Automate the submission of company names from your spreadsheet to Icypeas for comprehensive domain information, saving valuable time and effort.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.