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RAG Failure Modes: Scan Rot, Duplicate Chunks, and Leaky Indexes

Retrieval-augmented generation (RAG) systems can fail due to issues in the document processing pipeline, rather than solely model-layer problems. Three common failure modes include scan rot from poor optical character recognition (OCR) on image-based documents, duplicate chunks overwhelming vector stores with redundant information, and leaky indexes that expose sensitive data. Addressing these issues requires robust data engineering to recover document structure and implement deduplication strategies before indexing and retrieval. AI

IMPACT Improves the reliability and accuracy of RAG systems by addressing upstream data processing issues.

RANK_REASON Article details specific failure modes and fixes for a particular AI application (RAG).

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

RAG Failure Modes: Scan Rot, Duplicate Chunks, and Leaky Indexes

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31 / 100
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Newsworthiness bucket
Tool
Article details specific failure modes and fixes for a particular AI application (RAG).
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Uglypear Data ·

    A Field Guide to RAG Failure Modes: Garbled Scans, Duplicate Chunks, and Leaky Indexes

    <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F5uc9ejgx2qzw63dgwh74.png"><img alt=" " height="533" …