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Why Your RAG System Is Failing — and How to Fix It


Why Your RAG System Is Failing — and How to Fix It | Curiosity

Issues like poor retrieval performance, semantic mismatches, and domain-specific challenges can cause your RAG system to underperform.

Why Your RAG System Is Broken, and How to Fix It with Jason Liu

Today, we're joined by Jason Liu, freelance AI consultant, advisor, and creator of the Instructor library to discuss all things ...

Why Your RAG System Is Broken, and How to Fix It with Jason Liu

Why Your RAG System Is Broken, and How to Fix It with Jason Liu · About this Episode · Resources · Related Episodes · Related Topics · More from ...

Why your RAG is not working?. Pitfalls of simple retrieval, solutions…

This article delves into the inner workings of a naive RAG system, identifies its pitfalls — particularly in simple retrieval scenarios — and ...

RAG is not really a solution - Community - OpenAI Developer Forum

After spending more than a year now with Gen AI, I feel RAG is more of a problem than a solution. it is so brittle and there is no science to it.

RAG is failing when the number of documents increase - API

I wanted to check if others are also facing the same issue. When we have small number of documents, the embedding fetches n number of docs ...

When Retrieval Augmented Generation (RAG) Fails — Techniques ...

RAG fails when dealing with data in millions. Vector DB alone cannot help us to retrieve the right context when the collection has vectors in millions.

Understanding Failures and Mitigation Strategies in RAG Pipelines

... the knowledge to improve your RAG system's reliability and performance ... Another significant problem arises when the retrieved documents ...

Why is Retrieval Augmented Generation (RAG) not everywhere?

Imagine you're a legal firm using RAG to speed up case research and you have a knowledge base of regulatory docs or compliance policies. If you ...

Why RAG Systems Struggle with Acronyms – And How to Fix It

When RAG systems generate incorrect or irrelevant information, tracing the error back to its source (whether in the retrieval or generation ...

Why RAG Applications Fail in Production - LinkedIn

The Challenge of Moving from Prototype to Production · Scalability Issues: RAG systems must scale to meet the demands of a diverse user base ...

12 RAG Pain Points and Proposed Solutions - Towards Data Science

The RAG system provides a plausible but incorrect answer when the actual answer is not in the knowledge base, rather than stating it doesn't ...

5 challenges of using retrieval-augmented generation (RAG)

The number of queries a retrieval system needs to perform. Regardless of the cause, the retrieval operation can ultimately fail ... Adding the correct source ...

Top 7 Challenges with Retrieval-Augmented Generation - Valprovia

One significant challenge in Retrieval-Augmented Generation (RAG) systems is missing content in the knowledge base. When the relevant ...

Fix RAG Content at the Source to Avoid Compromised AI Results

After identifying and documenting instances where a RAG system delivers subpar answers due to issues in the source content, the next step is to ...

Seven Failure Points When Engineering a Retrieval Augmented ...

We share the lessons learned and present 7 failure points to consider when designing a RAG system. The two key takeaways arising from our work ...

Five things that can go wrong when building RAG applications

A RAG application is a complex system that integrates many components to achieve production-level quality outputs. RAG shines in use cases where ...

Why RAG Solutions Struggle - LinkedIn

What are your users searching for? What do they wish the system could do? We talk with many customers who want to build a RAG system to replace ...

RAGAS evaluation to mitigate failure points in Retrieval-Augmented ...

This failure point can be caused by a variety of points throughout the entire RAG process, but ultimately results in the returned answer being ...

How to Optimize Your RAG System - Pureinsights

So, wrapping up, if you want to improve RAG, you first step is implementing a way to gather metrics, measure and evaluate the impact of changes.