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Русский(RU) RAG, поиск и LongContext: почему сложные пайплайны не всегда нужны В 2023 году RAG был единственным способом засунуть знания в LLM — контекстное окно было мален

RAG systems fail due to retrieval pipeline issues, not LLM errors

By PulseAugur Editorial · [2 sources] ·

Retrieval-Augmented Generation (RAG) systems often fail not due to the language model's limitations, but because the preceding retrieval pipeline corrupts or distorts the source information. Issues during ingestion, chunking, indexing, and ranking can lead to the LLM receiving incomplete, outdated, or structurally broken context, making accurate responses impossible. While large context windows are becoming more common, the complexity and maintenance of RAG pipelines remain significant challenges, prompting a re-evaluation of when RAG is truly necessary versus when simpler methods might suffice. AI

IMPACT Highlights critical failure points in RAG systems, suggesting a need for better evaluation of retrieval pipelines and consideration of alternatives like large context windows.

RANK_REASON The cluster discusses the failure modes and complexities of RAG systems, offering analysis and opinion rather than announcing a new product or research.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

RAG systems fail due to retrieval pipeline issues, not LLM errors

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The cluster discusses the failure modes and complexities of RAG systems, offering analysis and opinion rather than announcing a new product or research.
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17 days old
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COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Hossein Hezami ·

    The Retrieval Pipeline Is Lying to You: How RAG Fails Before the LLM Sees Anything

    <p>Your RAG system did not fail because the model hallucinated.</p> <p>It failed because the only “facts” the model saw were a mangled PDF table, an outdated policy, a chunk with missing context, and three near-duplicate paragraphs that pushed better evidence out of the top-k res…

  2. Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] ·

    RAG, Search, and LongContext: Why Complex Pipelines Aren't Always Necessary In 2023, RAG was the only way to inject knowledge into LLMs – the context window was small

    RAG, поиск и LongContext: почему сложные пайплайны не всегда нужны В 2023 году RAG был единственным способом засунуть знания в LLM — контекстное окно было маленьким, часто были галлюцинации. RAG постепенно стал одной из самых популярных технологий, чтобы получить базу знаний, по …

    LINKS habr.com/…/1081080

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