---
title: "Discussion on \"Why RAG Systems Fail (and How to Fix Them): Common Pitfalls and Fast Mitigations\" | Hashnode"
description: "Discussion on \"Why RAG Systems Fail (and How to Fix Them): Common Pitfalls and Fast Mitigations\". Retrieval Augmented Generation (RAG) has opened the door for Large Language Models to become more trustworthy and useful by grounding them in external data—your documents, knowledge bases, support tickets, or legal texts. But even the best RAG setups..."
url: "https://hashnode.com/posts/why-rag-systems-fail-and-how-to-fix-them-common-pitfalls-and-fast-mitigations/68a5e92950476a0b97bacd35"
---

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# [Why RAG Systems Fail (and How to Fix Them): Common Pitfalls and Fast Mitigations](https://rishisingh1034.hashnode.dev/why-rag-systems-fail-and-how-to-fix-them-common-pitfalls-and-fast-mitigations?utm_source=hashnode&utm_medium=feed)

Retrieval Augmented Generation (RAG) has opened the door for Large Language Models to become more trustworthy and useful by grounding them in external data—your documents, knowledge bases, support tickets, or legal texts. But even the best RAG setups...

Aug 20, 2025 · 4 min read · rishisingh1034.hashnode.dev  
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## Written by

[Rishi Kumar Singh](https://hashnode.com/@rishisingh)

@rishisingh

  
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