Automated Translation and Logging of Form Submissions

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This n8n workflow automates the process of translating form submissions and storing the data with context-aware embeddings for future reference. It facilitates efficient data handling by integrating webhooks, AI-powered translation, vector-based storage, and logging into Google Sheets. When a user submits a form, the data is captured by a webhook trigger, then split into manageable chunks for translation and embedding generation. These embeddings are stored in a database for quick retrieval and contextual analysis. The workflow also logs the status in Google Sheets and sends Slack alerts in case of errors. This setup is ideal for organizations aiming to automate multilingual data collection, enhancement, and analysis to improve user interaction and data insights.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook

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