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Generate comprehensive research reports with Gemini AI and Tavily Search for Japanese users

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Important notice

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

1. Workflow Overview

This workflow contains community nodes that are only compatible with the self hosted version of n8n. Automated Research Reports with AI and Tavily Search An intelligent research automation workflow...

Best for

  • Market Research automation workflows
  • AI RAG automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, @tavily/n8n-nodes-tavily.tavilytool, n8n-nodes-base.gmail, n8n-nodes-base.stickynote, n8n-nodes-base.set

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Shun Fukuchi.

Original n8n.io source

1.1 Workflow description

Title
Generate comprehensive research reports with Gemini AI and Tavily Search for Japanese users
Workflow name
Generate comprehensive research reports with Gemini AI and Tavily Search for Japanese users

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Automated Research Reports with AI and Tavily Search

An intelligent research automation workflow designed for Japanese users that transforms user queries into comprehensive HTML reports via email. Using Google Gemini AI and Tavily search, this workflow generates optimized search queries, conducts multi-perspective research, and delivers structured analysis reports in Japanese.

Who's it for

Content creators, researchers, analysts, and businesses in Japan who need comprehensive research reports on various topics without manual information gathering. Particularly valuable for Japanese professionals conducting competitive analysis, market research, and technical comparisons who prefer reports in their native language.

How it works

The workflow follows a strategic four-step process:

  1. Query Optimization: Google Gemini AI analyzes user input and generates three optimized search queries for comprehensive coverage
  2. Multi-Query Research: Tavily's advanced search executes all queries with deep search parameters and AI-generated answers
  3. Report Synthesis: Another Gemini AI model consolidates findings, eliminates duplicates, and structures information into readable HTML format
  4. Email Delivery: Gmail automatically sends the final HTML report to specified recipients

Requirements

  • Google Gemini API credentials (for three separate AI nodes)
  • Tavily API credentials for advanced search functionality
  • Gmail authentication for email delivery
  • Basic n8n workflow execution permissions

How to set up

  1. Configure API credentials in all Google Gemini and Tavily nodes
  2. Update email settings in the "Send a message" node with your recipient address
  3. Customize your query in the "Edit Fields" node (default: "n8nとdifyの違い")
  4. Test the workflow to ensure all connections work properly

How to customize the workflow

Research depth: Increase max_results in Tavily search for more comprehensive data gathering. Query optimization: Modify system prompts in the Query Generator for domain-specific searches. Report format: Adjust the Report Agent's system message to change output structure, language, or focus areas. Multi-recipient delivery: Duplicate the Gmail node for multiple email destinations.

The workflow processes Japanese and English queries effectively, with built-in support for Japanese language output, making it ideal for Japanese professionals who need multilingual research capabilities. Advanced search parameters ensure high-quality, relevant results for professional research applications.

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 - When clicking ‘Execute workflow’

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

Block 2 - Query Generator

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

Block 3 - Google Gemini Chat Model

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

Block 4 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 5 - Google Gemini Chat Model1

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

Block 6 - Tavily_Search_Tool

Type / Role
@tavily/n8n-nodes-tavily.tavilyTool - tavilyTool
Config choices
Version 1

Block 7 - Google Gemini Chat Model2

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

Block 8 - Send a message

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

Block 9 - Research Agent

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

Block 10 - Report Agent

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

Block 11 - Sticky Note

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

Block 12 - query

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 13 - Sticky Note1

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

Block 14 - Sticky Note2

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

Block 15 - Sticky Note3

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

Block 16 - Sticky Note4

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

Block 17 - Sticky Note5

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

Block 18 - Sticky Note6

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

3. Summary Table

Workflow Generate comprehensive research reports with Gemini AI and Tavily Search for Japanese users
Complexity advanced
Nodes 18
Categories Market Research, AI RAG
Author Shun Fukuchi
Published 12 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5897/5897.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 comprehensive research reports with Gemini AI and Tavily Search for Japanese users do?

This workflow contains community nodes that are only compatible with the self hosted version of n8n. Automated Research Reports with AI and Tavily Search An intelligent research automation workflow...

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 Market Research, AI RAG use case.