This n8n workflow automates the process of capturing payment data from Stripe and updating QuickBooks, ensuring seamless financial record management. The workflow begins with a webhook trigger that initiates the process upon receiving new data from Stripe. It then processes the data by splitting the text content for better analysis and generates embeddings using OpenAI’s models to facilitate advanced data handling. These embeddings are stored in a Supabase vector database, enabling quick retrieval of relevant data. To enhance data understanding, the workflow employs a Retrieval-Augmented Generation (RAG) agent powered by OpenAI, which interacts with the stored data to generate meaningful insights or summaries. If the process encounters an error, a Slack notification alerts the team. Finally, relevant status updates are logged into Google Sheets, creating a comprehensive audit trail. This setup is ideal for financial teams seeking real-time integration and intelligent data processing between Stripe and QuickBooks, while leveraging AI for enhanced data insights.
Automated Data Sync from Stripe to QuickBooks with AI Assistance
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.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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