This n8n workflow automates the process of generating personalized cover letters through AI-powered language models and vector-based information retrieval. It begins with a webhook trigger that receives input data, which is then mapped and processed by integrated AI models including LangChain agents and Groq chat models. The workflow utilizes services such as Pinecone for vector storage and Google Gemini for embeddings to enable accurate retrieval and context-aware responses. The system is designed to be flexible, allowing for complex interactions like question answering and content generation, making it ideal for HR teams, job seekers, or content creators needing quick, tailored cover letter drafts. The workflow seamlessly responds back via Webhook, delivering the generated content in a clear markdown format, ready to be used or further edited.
Automated Cover Letter Generator Using n8n AI Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.embeddingsGoogleGemini, @n8n/n8n-nodes-langchain.lmChatGroq, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.retrieverVectorStore, @n8n/n8n-nodes-langchain.toolSerpApi, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, markdown, respondToWebhook, set, stickyNote, webhook |
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