AI-Driven Email Automation with Language Models

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This advanced n8n workflow automates the process of retrieving contact data, creating personalized emails, and sending them automatically. It combines AI-powered language models, vector similarity search via Pinecone, and seamless integration with Gmail to deliver tailored email campaigns or follow-ups. The workflow involves multiple steps: starting with a manual trigger to load contact data from Google Docs, embedding and storing emails in Pinecone’s vector database, retrieving relevant contacts based on user prompts, and dynamically generating personalized emails using GPT models. Additionally, it can be triggered by specific chat messages or other workflows to send targeted emails securely via Gmail. This setup is highly useful for marketing campaigns, customer outreach, personalized notifications, or support responses, enabling businesses to automate sophisticated email communications using AI intelligence.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.vectorStorePinecone, executeWorkflowTrigger, gmailTool, googleDocs, manualTrigger, stickyNote

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