This n8n workflow automates the processing of WooCommerce orders by integrating AI-powered data analysis, vector similarity searches, and email marketing updates into Mailchimp. When a new order is placed, it triggers a webhook that initiates text processing, embedding generation, and vector storage in Weaviate. The workflow utilizes a LangChain agent to interpret order data, append processing results to Google Sheets for logging, and send Slack alerts in case of errors. It also includes an advanced retrieval-augmented generation (RAG) setup to enable intelligent data retrieval and analysis. This setup is ideal for eCommerce stores seeking to automate customer engagement, improve order insights, and streamline marketing efforts using AI-driven workflows.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, slack, stickyNote, webhook