This workflow automates the process of receiving, analyzing, and storing in-game event reminders. It starts with a webhook trigger that captures incoming event data, then splits the content into manageable chunks for processing. Using OpenAI embeddings, the data is indexed and stored in a Supabase vector database for efficient retrieval. The workflow also employs a language model to generate detailed insights or summaries, which can be logged into a Google Sheet for record-keeping. Practical for game developers or community managers, this workflow helps automate the monitoring and management of in-game events, ensuring timely reminders and organized data tracking.
In-Game Event Reminder Automation
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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