AI-Powered Social Mention Processing and Intelligent Logging
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Automate the intelligent processing of social media mentions using a powerful Retrieval Augmented Generation (RAG) agent. This workflow ingests data via a webhook, enriches it with vector embeddings and an AI model, then logs the refined output to Google Sheets, complete with error notifications via Slack.
About This Workflow
This n8n workflow provides a sophisticated solution for analyzing and logging social media mentions (or similar textual data) using advanced AI capabilities. It begins by receiving incoming data through a webhook, which is then chunked and converted into vector embeddings via Cohere. These embeddings are stored and queried in Weaviate, acting as a dynamic knowledge base for context. An Anthropic Chat Model powers a Langchain RAG Agent, leveraging this vector context and conversational memory to intelligently process the data. Finally, the agent's output is logged into a Google Sheet for tracking and analysis, with Slack alerts ensuring you're immediately notified of any processing failures. This setup is ideal for turning raw mentions into actionable insights.
Key Features
- AI-Powered RAG Agent: Utilizes an Anthropic LLM, Weaviate vector store (with Cohere embeddings), and window memory for intelligent data processing and contextual understanding.
- Dynamic Contextualization: Employs Cohere embeddings and Weaviate for efficient storage and retrieval of relevant information, enhancing AI responses.
- Automated Data Ingestion: Triggers automatically via a webhook, allowing seamless integration with external data sources.
- Structured Logging: Appends processed data outcomes to a Google Sheet for organized record-keeping and further analysis.
- Robust Error Handling: Sends instant Slack notifications for any issues encountered during the AI processing, ensuring reliability.
How To Use
- Set up Webhook Trigger: Configure the 'Webhook Trigger' node to define the endpoint that will receive your incoming data (e.g., Twitter mentions).
- Configure AI Credentials: Provide your API keys for
Cohere(Embeddings node),Anthropic(Chat Model node), andWeaviate(Weaviate Insert/Query nodes) in your n8n credentials. - Customize RAG Agent: Adjust the 'RAG Agent' node's system message and prompt to tailor its AI behavior for your specific data processing needs (e.g., for sentiment analysis or categorization).
- Connect Google Sheets: Authenticate the 'Append Sheet' node with your
Google Sheetsaccount. Specify the Spreadsheet ID and Sheet Name where you want the processed data to be logged. - Enable Slack Alerts: Configure the 'Slack Alert' node with your
SlackAPI credentials and specify the channel (#alertsby default) for error notifications.
Apps Used
Workflow JSON
{
"id": "eb50c80b-3104-4462-b2f4-6ffc5ad0f634",
"name": "AI-Powered Social Mention Processing and Intelligent Logging",
"nodes": 10,
"category": "Marketing",
"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: eb50c80b-3104...
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