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Generate food recipes from Gmail & form requests with Ollama & Llama 3.2

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n template demonstrates how to create an intelligent food recipe assistant that accepts requests via Gmail and web forms, processes them using AI chat models (Ollama and Llama 3.2), and deli...

Best for

  • Personal Productivity automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.gmailtrigger, n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatollama, n8n-nodes-base.code, n8n-nodes-base.gmail

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Oneclick AI Squad.

Original n8n.io source

1.1 Workflow description

Title
Generate food recipes from Gmail & form requests with Ollama & Llama 3.2
Workflow name
Generate food recipes from Gmail & form requests with Ollama & Llama 3.2

This n8n template demonstrates how to create an intelligent food recipe assistant that accepts requests via Gmail and web forms, processes them using AI chat models (Ollama and Llama 3.2), and delivers personalized recipes back to users. The system combines multiple input methods with advanced AI processing to provide customized cooking instructions and ingredient lists.

Good to know

  • The system accepts recipe requests through both Gmail and web form submissions
  • AI models understand dietary restrictions, cuisine preferences, and cooking skill levels
  • Recipe responses include formatted ingredients, step-by-step instructions, and cooking tips
  • All requests are processed automatically without manual intervention

How it works

Gmail Recipe Request Workflow

  • Gmail triggers activate when users send emails with recipe requests to the designated email address
  • The system extracts recipe requirements, dietary preferences, and cooking constraints from email content
  • User queries are processed through the Ollama Recipe Generator for intelligent recipe creation
  • AI-generated recipes are formatted with proper ingredients, instructions, and cooking times
  • Formatted recipes are sent back to users via Gmail with a professional presentation

Web Form Recipe Request Workflow

  • Web form submissions trigger when users fill out structured recipe request forms
  • Form data includes cuisine type, dietary restrictions, available ingredients, and cooking time preferences
  • The Llama 3.2 Chef Model processes structured requests for optimized recipe generation
  • Recipes are formatted with clear instructions, ingredient measurements, and cooking techniques
  • Users receive formatted recipes via email with additional cooking tips and variations

How to use

  • Import the workflow into your n8n instance and configure Gmail integration for recipe requests
  • Set up the web form with fields for cuisine preferences, dietary restrictions, and cooking skill level
  • Configure Ollama and Llama 3.2 AI models with appropriate recipe generation prompts
  • Test both Gmail and web form inputs with sample recipe requests
  • Customize email templates to match your brand and include additional cooking resources
  • The system scales automatically to handle multiple simultaneous recipe requests

Requirements

  • Gmail account for email-based recipe requests and responses
  • Ollama installation with Recipe Generator model
  • Llama 3.2 Chef Model access for advanced recipe processing
  • n8n instance with Gmail and AI model integrations

Customising this workflow

  • Recipe automation can be adapted for different cuisines, dietary needs, and cooking skill levels
  • Try popular use-cases such as meal planning assistance, ingredient substitution suggestions, or nutritional information inclusion
  • The workflow can be extended to include recipe image generation, shopping list creation, and cooking video recommendations

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Recipe Request - Gmail

Type / Role
n8n-nodes-base.gmailTrigger - gmailTrigger
Config choices
Version 1.2

Block 6 - Recipe Request - Web Form

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 7 - Ollama Recipe Generator

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 8 - Llama 3.2 - Chef Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOllama - lmChatOllama
Config choices
Version 1

Block 9 - Format Recipe Output

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 10 - Send Recipe via Email

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.1

3. Summary Table

Workflow Generate food recipes from Gmail & form requests with Ollama & Llama 3.2
Complexity intermediate
Nodes 10
Categories Personal Productivity, Multimodal AI
Author Oneclick AI Squad
Published 11 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5871/5871.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Generate food recipes from Gmail & form requests with Ollama & Llama 3.2 do?

This n8n template demonstrates how to create an intelligent food recipe assistant that accepts requests via Gmail and web forms, processes them using AI chat models (Ollama and Llama 3.2), and deli...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, Multimodal AI use case.