---
title: "Discussion on \"Catalog Matching With LLMs: Why Changing Knowledge Should Stay Outside the Model\" | Hashnode"
description: "Discussion on \"Catalog Matching With LLMs: Why Changing Knowledge Should Stay Outside the Model\". Explore how LLMs+RAG improve product catalog matching, incorporate human corrections, and reduce the need for costly model retraining and fine-tuning."
url: "https://hashnode.com/posts/catalog-matching-with-llms-why-changing-knowledge-should-stay-outside-the-model/6ad70080f02cbc56b8a9eab3"
---

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# [Catalog Matching With LLMs: Why Changing Knowledge Should Stay Outside the Model](https://businesswaretech.hashnode.dev/catalog-matching-with-llms-why-changing-knowledge-should-stay-outside-the-model?utm_source=hashnode&utm_medium=feed)

Explore how LLMs+RAG improve product catalog matching, incorporate human corrections, and reduce the need for costly model retraining and fine-tuning.

Oct 20 · 10 min read · businesswaretech.hashnode.dev  
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-   [#matching](https://hashnode.com/tag/matching)
-   [#rag](https://hashnode.com/tag/rag)
-   [#llm](https://hashnode.com/tag/llm)
-   [#finetuning](https://hashnode.com/tag/finetuning)
-   [#catalog-management-in-ecommerce](https://hashnode.com/tag/catalog-management-in-ecommerce)
-   [#catalog](https://hashnode.com/tag/catalog)
-   [#retail](https://hashnode.com/tag/retail)
-   [#retailtech](https://hashnode.com/tag/retailtech)
-   [#retailtransformation](https://hashnode.com/tag/retailtransformation)
-   [#erp](https://hashnode.com/tag/erp)

## Written by

[Businessware Technologies](https://hashnode.com/@businesswaretech)

@businesswaretech · New York City, USA

  
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## Responses 1

Markdown supported · ⌘↵ to post

[Ahmet Özel](https://hashnode.com/@ahmetozel)

[Oct 20](https://hashnode.com/posts/catalog-matching-with-llms-why-changing-knowledge-should-stay-outside-the-model/6ad70080f02cbc56b8a9eab3/comment/6ad72b5fb29e78d45d37ec5b)

The supplier-specific JD example is where I would attach scope to each validated decision. An abbreviation accepted for one retailer or product category can be a misleading demonstration for another, even when its text embedding is extremely close.

Store the supplier, category, effective policy and decisive attributes with the reviewed pair, then filter example retrieval by those constraints before ranking. A confirmed brand alias should also remain separate from a confirmed product equivalence: matching the brand does not establish that pack size, volume or variant are interchangeable. That keeps a useful correction from silently becoming a broader rule.
