Automated TV Rating Trend Report Generation with n8n
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This n8n workflow automatically generates TV rating trend reports by processing incoming data via a webhook, splitting it, creating embeddings, storing them in a vector database, and then querying and analyzing trends using AI.
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About This Workflow
Overview
This n8n workflow is designed to automate the generation of TV rating trend reports. It leverages a combination of n8n nodes and Langchain integrations to create a robust reporting pipeline. The workflow starts by receiving data through a webhook, which is then processed, embedded, and stored in a Redis vector store. Subsequently, it uses AI agents to query this data, identify trends, and log the results to a Google Sheet. This is particularly useful for media analysts, researchers, or anyone needing to track and report on television viewership patterns efficiently.
Key Features
- Real-time data ingestion via Webhook.
- Efficient text processing with Langchain's Text Splitter and Embeddings.
- Scalable data storage and retrieval using Redis Vector Store.
- AI-powered trend analysis and reporting.
- Automated logging of reports to Google Sheets.
How To Use
- Configure the 'Webhook' node to receive incoming TV rating data.
- Set up the 'Splitter' node to segment incoming text data appropriately.
- Configure the 'Embeddings' node with your preferred Hugging Face model and credentials.
- Set up the 'Insert' node for the Redis Vector Store with your Redis credentials and desired index name ('tv_rating_trend_report').
- Configure the 'Query' node for the Redis Vector Store, also using your Redis credentials and the same index name.
- Connect the 'Tool' and 'Agent' nodes, ensuring the 'Agent' node is configured to use the 'define' prompt type and the appropriate text input.
- Set up the 'Sheet' node with your Google Sheets credentials and target sheet ('Log') to store the generated reports.
Apps Used
Workflow JSON
{
"id": "51216e3e-a35d-43aa-bfe3-7561fc43d0b1",
"name": "Automated TV Rating Trend Report Generation with n8n",
"nodes": 0,
"category": "Media Automation",
"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: 51216e3e-a35d...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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