Templates / Automate vendor due diligence research with Gemini & Jina AI

Automate vendor due diligence research with Gemini & Jina AI

Ready for 3.0

by Adnan · 1,542 views · created 2025-07-06 · Document Extraction, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 21 nodes and runs when someone submits an n8n form (“Vendor Intake Form”). Along the way it connects Google Gemini Chat Model, Jina AI and Google Sheets. It also calls generativelanguage.googleapis.com over HTTP.

How it runs

Trigger: When someone submits an n8n form (“Vendor Intake Form”).

  1. Build Research Prompts (Edit Fields (Set)): sets 4 fields: system_prompt, risk_classifier, background_q…
  2. Research Company Background (HTTP Request): calls generativelanguage.googleapis.com (POST)
  3. Delay1: 1 second (Wait): waits 1 seconds
  4. Determine Vendor Classification (HTTP Request): calls generativelanguage.googleapis.com (POST)
  5. Delay2: 1 second (Wait): waits 1 seconds
  6. Answer risk questions (HTTP Request): calls generativelanguage.googleapis.com (POST)
  7. Extract Reference URLs (Code): runs custom Python code
  8. Validate URL Extraction (If): checks a condition and branches into true / false
  9. Fetch Web Content (Jina AI): uses Jina AI
  10. Handle No URLs Found (Edit Fields (Set)): sets 3 fields: url, extraction_success, summary

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

Services it uses

Google Gemini Chat ModelJina AIGoogle Sheets

HTTP calls to: generativelanguage.googleapis.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (14)

From the author

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 👥 Who is this for? This workflow is designed for a variety of professionals who manage vendor relationships and data security. It is especially beneficial…

Excerpt from Adnan's description on n8n.io.

View the original on n8n.io → Check your own copy

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