Automate X-ray analysis with VLM Orion and distribute to Gmail, Telegram & Drive
UnknownWhat this workflow does
This AI workflow has 9 nodes and runs when someone submits an n8n form (“Upload your data to test RAG”). Along the way it connects OpenAI, Gmail, Telegram and Google Drive and 1 more.
How it runs
Trigger: When someone submits an n8n form (“Upload your data to test RAG”).
- Analyze X-Ray (OpenAI): analyze (image)
- Set Key (Edit Fields (Set)): sets 2 fields: Description, Output_Image
- Get Image Artifact (Vlm Run): artifacts
- Convert to Report (Convert to File): converts data to a file (to text)
- Send Details (Gmail): uses Gmail
- Merge: merges the data from its input branches
- Send Details (Telegram): send document
- Upload Report (Google Drive): uses Google Drive
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @vlm-run/n8n-nodes-vlmrun is verified or supports 3.0 (used in Get Image Artifact).
Nodes used (9)
- n8n Form Trigger
n8n-nodes-base.formTrigger - Convert to File
n8n-nodes-base.convertToFile - Merge
n8n-nodes-base.merge - OpenAI
@n8n/n8n-nodes-langchain.openAi - Gmail
n8n-nodes-base.gmail - Telegram
n8n-nodes-base.telegram - Google Drive
n8n-nodes-base.googleDrive - Edit Fields (Set)
n8n-nodes-base.set - Vlm Run
@vlm-run/n8n-nodes-vlmrun.vlmRun
From the author
📌 Overview This workflow provides an automated pipeline for processing medical X-ray images using VLM Run (model: vlmrun-orion-1:auto), and distributing the AI-generated analysis to multiple channels—email, Telegram, and Google Drive. --- ⚙️ How It Works 1.…