This n8n workflow automates the moderation, analysis, and logging of live stream chat messages to enhance viewer engagement and maintain a positive environment. It starts with a webhook trigger to receive chat messages, which are then split into manageable parts for processing. The messages are converted into embeddings using OpenAI, stored in a vector database (Supabase), and queried for similarity to identify relevant content. An AI agent then defines the context and generates appropriate responses or actions, which are logged into Google Sheets for record-keeping. This workflow is ideal for streamers and community managers aiming to automate chat moderation, generate real-time responses, and log interactions for future analysis.
Automated Live Stream Chat Moderation and Logging
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, stickyNote, webhook |
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