Vectorize TUSS Medical Procedures for Semantic Search with Gemini & pgVector

Automates vectorization of TUSS medical procedures using Google Gemini embeddings for storage in pgVector, enabling precise semantic search in healthcare data.

This n8n workflow transforms the TUSS (Terminologia Unificada da Saúde Suplementar) table of medical procedures into vector embeddings for advanced semantic search. It imports structured TUSS data, preprocesses the text descriptions, generates high-quality embeddings via Google Gemini API, and stores them in a PostgreSQL database with pgVector extension. This setup allows for efficient similarity searches based on query meaning rather than keywords. The primary benefit is overcoming limitations
Platform
n8n
Category
Crypto & Blockchain
Price
$24.99
Creator
Emil Volkov

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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