🔬 Run multi-model research analysis and email reports with GPT-4, Claude and NVIDIA NIM
⚡ 147 views · 🔬 Document Extraction & Analysis
Description
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
🔗 Nodes Used
Send Email, HTTP Request, Postgres, Slack, Webhook
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File