Run multi-model research analysis and email reports with GPT-4, Claude and NVIDIA NIM

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Important notice

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

1. Workflow Overview

How It Works This workflow automates end to end research analysis by coordinating multiple AI models—including NVIDIA NIM (Llama), OpenAI GPT 4, and Claude to analyze uploaded documents, extract in...

Best for

Document Extraction automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.if, n8n-nodes-base.switch, n8n-nodes-base.wait

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Run multi-model research analysis and email reports with GPT-4, Claude and NVIDIA NIM
Workflow name: Run multi-model research analysis and email reports with GPT-4, Claude and NVIDIA NIM

How It Works

This workflow automates end-to-end research analysis by coordinating multiple AI models—including NVIDIA NIM (Llama), OpenAI GPT-4, and Claude to analyze uploaded documents, extract insights, and generate polished reports delivered via email. Built for researchers, academics, and business analysts, it enables fast, accurate synthesis of information from multiple sources. The workflow eliminates the manual burden of document review, cross-referencing, and report compilation by running parallel AI analyses, aggregating and validating model outputs, and producing structured, publication-ready documents in minutes instead of hours. Data flows from Google Sheets (user input) through document extraction, parallel AI processing, response aggregation, quality validation, structured storage in Google Sheets, automated report formatting, and final delivery via Gmail with attachments.

Setup Steps

Configure API credentials
Add OpenAI API key with GPT-4 access enabled
Connect Anthropic Claude API credentials
Set up Google Sheets integration with read/write permissions
Configure Gmail credentials with OAuth2 authentication for automated email
Customize email templates and report formatting preferences

Prerequisites

NVIDIA NIM API access, OpenAI API key (GPT-4 enabled), Anthropic Claude API key

Use Cases

Academic literature reviews, competitive intelligence reports

Customization

Adjust AI model parameters (temperature, tokens) per analysis depth needs

Benefits

Reduces research analysis time by 80%, eliminates single-source bias through multi-model consensus

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 - LLM Request Webhook

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

Block 2 - Workflow Configuration

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

Block 3 - Parse Request & Validate

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

Block 4 - Analyze Prompt Complexity

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

Block 5 - Check Azure OpenAI Health

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 6 - Check AWS Bedrock Health

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 7 - Merge Health Checks

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 8 - Score & Rank Models

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

Block 9 - Check Policy Constraints

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 10 - Apply Policy Routing

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

Block 11 - Route to Selected Model

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

Block 12 - Rewrite Prompt for Azure

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

Block 13 - Rewrite Prompt for AWS

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

Block 14 - Rewrite Prompt for Google

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

Block 15 - Rewrite Prompt for Local

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

Block 16 - Call Azure OpenAI

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 17 - Call AWS Bedrock

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 18 - Call Google Vertex AI

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 19 - Call Local Model

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 20 - Handle Circuit Breaker

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

Block 21 - Check Retry Needed

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 22 - Adaptive Retry Delay

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 23 - Merge Model Responses

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 24 - Normalize Output

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

Showing the first 24 of 46 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Run multi-model research analysis and email reports with GPT-4, Claude and NVIDIA NIM
Complexity	advanced
Nodes	46
Categories	Document Extraction, AI RAG
Author	Cheng Siong Chin
Published	07 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12537/12537.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Document Extraction workflows AI RAG workflows

Frequently asked questions

What does Run multi-model research analysis and email reports with GPT-4, Claude and NVIDIA NIM do?

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 Document Extraction, AI RAG use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.set n8n-nodes-base.code n8n-nodes-base.httprequest n8n-nodes-base.merge n8n-nodes-base.if n8n-nodes-base.switch n8n-nodes-base.wait

Complexity

advanced

Published 07 Jan 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/12537/12537.json

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Run multi-model research analysis and email reports with GPT-4, Claude and NVIDIA NIM

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How It Works

Setup Steps

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - LLM Request Webhook

Block 2 - Workflow Configuration

Block 3 - Parse Request & Validate

Block 4 - Analyze Prompt Complexity

Block 5 - Check Azure OpenAI Health

Block 6 - Check AWS Bedrock Health

Block 7 - Merge Health Checks

Block 8 - Score & Rank Models

Block 9 - Check Policy Constraints

Block 10 - Apply Policy Routing

Block 11 - Route to Selected Model

Block 12 - Rewrite Prompt for Azure

Block 13 - Rewrite Prompt for AWS

Block 14 - Rewrite Prompt for Google

Block 15 - Rewrite Prompt for Local

Block 16 - Call Azure OpenAI

Block 17 - Call AWS Bedrock

Block 18 - Call Google Vertex AI

Block 19 - Call Local Model

Block 20 - Handle Circuit Breaker

Block 21 - Check Retry Needed

Block 22 - Adaptive Retry Delay

Block 23 - Merge Model Responses

Block 24 - Normalize Output

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions