Why Regex Fails at Google Taxonomy: Building a 98% Accurate RAG Agent
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The Problem: "Is a ‘Hot Dog’ a Dog?" 🌭

In Google Merchant Center, categorization is everything. If you misclassify a product, your ads stop running.

Most feed tools use keyword matching (Regex).

  • Rule: If title contains "Dog" -> Category: Animals > Pets > Dogs
  • Input: "Hot Dog Costume"
  • Result: Animals > Pets > Dogs ❌ (Wrong!)

This is why 15-20% of products in large catalogs often sit in "Disapproved" purgatory.

The Solution: Retrieval Augmented Generation (RAG) 🧠

I built CatMap AI to solve this using Vectors, not Keywords.

1. The Architecture

Instead of rules, we convert the entire Google Product Taxonomy (5,500+ nodes) into a Vector Index using OpenAI’s text-embedding-3-small.

When a product comes in (`“Pallash Casual Women’s…

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