Tailor your Google Docs CV to any job using Ollama and Groq

by Rishi ✓ · 84 views · created 2026-05-10 · HR, AI Summarization

What this workflow does

This AI workflow has 20 nodes and runs when someone submits an n8n form (“CV Keyword Optimizer”). Along the way it connects Google Docs, Google Drive, Ollama Chat Model and Groq Chat Model.

How it runs

Trigger: When someone submits an n8n form (“CV Keyword Optimizer”).

1. Extract Doc ID & Job URL (Code): runs custom JavaScript code
2. Read CV from Google Docs (Google Docs): get
3. Extract CV Text (Code): runs custom JavaScript code
4. Scrape Job Page (HTTP Request): calls an HTTP API
5. Extract Job Text from HTML (Code): runs custom JavaScript code
6. Keyword Extraction Chain (Basic LLM Chain): sends a prompt to an LLM, with model: Ollama Chat Model
7. Parse Keywords (Code): runs custom JavaScript code
8. Prepare Replacement Input (Code): runs custom JavaScript code
9. Replacement Generation Chain (Basic LLM Chain): sends a prompt to an LLM, with model: Groq Chat Model
10. Parse AI Response (Code): runs custom JavaScript code

…plus 7 more steps. See the full node list below.

Services it uses

Google DocsGoogle DriveOllama Chat ModelGroq Chat Model

Before you upgrade to n8n 3.0

Nodes used (10)

• n8n Form Triggern8n-nodes-base.formTrigger
• Coden8n-nodes-base.code
• Google Docsn8n-nodes-base.googleDocs
• HTTP Requestn8n-nodes-base.httpRequest
• Ifn8n-nodes-base.if
• Google Driven8n-nodes-base.googleDrive
• Respond to Webhookn8n-nodes-base.respondToWebhook
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Ollama Chat Model@n8n/n8n-nodes-langchain.lmChatOllama
• Groq Chat Model@n8n/n8n-nodes-langchain.lmChatGroq

From the author

🎯 CV Keyword Optimizer An AI-powered n8n workflow that automatically tailors your resume to any job description by injecting relevant keywords — without touching your formatting, layout, or design. --- How It Works Architecture…

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