Automate Live Stream Chat Moderation with AI and n8n
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This n8n workflow uses AI to moderate live stream chats by splitting messages, generating embeddings, querying a vector store, and responding via an agent. It logs the interactions to Google Sheets for review.
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About This Workflow
Overview
This n8n workflow automates the moderation of live stream chat messages using AI. It acts as a real-time moderator by processing incoming chat messages, storing them in a searchable vector database (Supabase), and generating responses or actions based on user queries and chat context. The workflow leverages the power of Langchain nodes within n8n to create an intelligent agent capable of understanding and reacting to chat content, with all actions logged for auditing.
Key Features
- Real-time chat message processing via Webhook.
- AI-powered text splitting and embedding generation.
- Secure storage and retrieval of chat data using Supabase Vector Store.
- Intelligent agent for generating context-aware responses.
- Conversation memory for maintaining context.
- Logging of all moderator actions and responses to Google Sheets.
How To Use
- Set up a Webhook to receive incoming chat messages.
- Configure the
Splitternode to break down messages into manageable chunks. - Connect
Embeddingsto generate vector representations of the text. - Use the
Insertnode to store chat data in Supabase Vector Store. - Configure the
Querynode to retrieve relevant information from Supabase. - Set up
MemoryandChatnodes for conversational context and AI response generation. - Define the
Agentto orchestrate the AI's decision-making process. - Connect the
Sheetnode to log all activities and responses to a Google Sheet.
Apps Used
Workflow JSON
{
"id": "b02ef91e-aeca-4619-a1f5-11837715fccc",
"name": "Automate Live Stream Chat Moderation with AI and n8n",
"nodes": 0,
"category": "AI 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: b02ef91e-aeca...
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