Automate Twitch Clip Highlights with n8n and AI
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This workflow automatically processes Twitch clip highlights by splitting content, generating embeddings, and storing them in a Weaviate vector store. It then uses an AI agent to query and utilize this data.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of capturing and indexing highlights from Twitch clips. It leverages AI capabilities through LangChain nodes to process text data, generate embeddings, and store them in a vector database (Weaviate). The workflow begins with a Webhook to receive incoming data, which is then split into manageable chunks using the Splitter node. These chunks are then vectorized using the Embeddings node (Cohere) and inserted into a Weaviate index via the Insert node. A Query node allows for retrieval of relevant information, which is then processed by an AI Agent that utilizes tools and memory. Finally, the results are logged to a Google Sheet using the Sheet node. This workflow is ideal for managing and analyzing large volumes of Twitch clip content for insights or further processing.
Key Features
- Trigger workflow via Webhook for real-time data ingestion.
- Utilize LangChain's
TextSplitterfor efficient content chunking. - Generate embeddings using Cohere's AI model.
- Store and retrieve vector data using Weaviate.
- Employ an AI
AgentwithToolandMemorynodes for intelligent processing. - Log results to a Google Sheet for easy tracking and analysis.
How To Use
- Set up the n8n
Webhooknode to receive data from your Twitch clip source. - Configure the
Splitternode with appropriatechunkSizeandchunkOverlapfor your content. - Ensure your Cohere API credentials are set up for the
Embeddingsnode. - Configure the
InsertandQuerynodes with your Weaviate API credentials and the desiredindexName. - Set up your HuggingFace API credentials for the
Chatnode. - Configure the
Agentnode with your desired prompt logic and ensure it can access theToolandMemorynodes. - Set up your Google Sheets API credentials and specify the
documentIdandsheetNamefor theSheetnode. - Connect the nodes according to the workflow's execution order.
Apps Used
Workflow JSON
{
"id": "83ee64ce-616b-4302-a8f3-de537190f153",
"name": "Automate Twitch Clip Highlights with n8n and AI",
"nodes": 0,
"category": "Gaming 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: 83ee64ce-616b...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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