AI Image Captioning with RAG Agent in n8n
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Automate image captioning using a RAG Agent in n8n. This workflow leverages Langchain nodes to process image data, generate captions, and store results.
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About This Workflow
Overview
This n8n workflow automates the process of generating captions for images using a Retrieval Augmented Generation (RAG) Agent. It's designed to take an image input, process it through a series of Langchain nodes, and produce a descriptive caption.
The core logic involves receiving an image via a Webhook Trigger, splitting any associated text data using the Text Splitter, generating embeddings with OpenAI Embeddings, and storing/querying these in a Weaviate vector store. A RAG Agent, powered by an Anthropic Chat Model and a Vector Tool, then uses this context to generate relevant captions. The process includes error handling with Slack alerts and logging to Google Sheets.
Key Features
- Automated Caption Generation: Leverages AI to automatically create descriptive captions for images.
- RAG Agent Integration: Implements a Retrieval Augmented Generation agent for context-aware captioning.
- Vector Store Persistence: Utilizes Weaviate for storing and retrieving image-related data and embeddings.
- Error Handling: Includes Slack alerts for immediate notification of workflow failures.
- Logging: Logs workflow status and results to a Google Sheet for tracking.
How To Use
- Set up Credentials: Configure your OpenAI, Weaviate, Anthropic, and Google Sheets API credentials within n8n.
- Configure Webhook Trigger: Set up the
Webhook Triggernode to receive incoming image data. - Adjust Text Splitter: Customize the
Text Splitternode'schunkSizeandchunkOverlapparameters based on your input data. - Configure Weaviate: Ensure your Weaviate instance is running and the
indexName('image_captioning') matches your setup. AdjustWeaviate InsertandWeaviate Querynodes as needed. - Tune RAG Agent: Adjust the
Chat ModelandRAG Agentsystem message and parameters for optimal caption generation. - Set up Logging: Configure the
Append Sheetnode with your Google Sheet ID and sheet name for logging. - Configure Slack Alerts: Set up the
Slack Alertnode with your Slack API credentials and channel for error notifications. - Test the Workflow: Trigger the webhook with sample image data and monitor the execution and output.
Apps Used
Workflow JSON
{
"id": "11190d0b-b913-4d8c-a9ad-fd61d9d26462",
"name": "AI Image Captioning with RAG Agent in n8n",
"nodes": 0,
"category": "AI/ML",
"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: 11190d0b-b913...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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