---
title: "Discussion on \"How to build a unified ingestion layer for your RAG pipeline from scratch\" | Hashnode"
description: "Discussion on \"How to build a unified ingestion layer for your RAG pipeline from scratch\". What it actually takes to build one, what it costs, and where the honest tradeoff sits between building and buying."
url: "https://hashnode.com/posts/how-to-build-a-unified-ingestion-layer-for-your-rag-pipeline-from-scratch/6ab3e007dea46a6cc2dce053"
---

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# [How to build a unified ingestion layer for your RAG pipeline from scratch](https://enconvert.hashnode.dev/how-to-build-a-unified-ingestion-layer-for-your-rag-pipeline-from-scratch?utm_source=hashnode&utm_medium=feed)

What it actually takes to build one, what it costs, and where the honest tradeoff sits between building and buying.

Sep 23 · 6 min read · enconvert.hashnode.dev  
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## Written by

[Het Dave](https://hashnode.com/@enconvert)

@enconvert · Singapore

  
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## Responses 2

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[Brian · AI News](https://hashnode.com/@brianainews)

[Sep 24](https://hashnode.com/posts/how-to-build-a-unified-ingestion-layer-for-your-rag-pipeline-from-scratch/6ab3e007dea46a6cc2dce053/comment/6ab48f1e8fc0f59a4c8fad17)

Caching embeddings by content hash saved me more than any model swap. Same chunk in, same vector out, and reindexing stops eating the budget.

[Het Dave](https://hashnode.com/@enconvert)

[Sep 24](https://hashnode.com/posts/how-to-build-a-unified-ingestion-layer-for-your-rag-pipeline-from-scratch/6ab3e007dea46a6cc2dce053/comment/6ab48f1e8fc0f59a4c8fad17#reply-6ab4ac14c9af724114791a05)

That is indeed true, and is almost always the best method to reduce costs. On a side note, we use this exact same method in one of our other endpoint 'Watch' to detect whether the content of a website has changed or not.