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RAG inconsistency traced to API defaults and silent prompt truncation

By PulseAugur Editorial · [1 sources] ·

A developer encountered inconsistent answers from their retrieval-augmented generation (RAG) system, which they traced to two primary causes. The first was the default temperature and seed settings provided by the API, which can lead to non-deterministic outputs. The second, more significant issue, was OpenRouter's context-compression plugin, which silently truncates the middle of long prompts without indicating that information has been lost. This truncation, combined with variations in how retrieved chunks are ordered, can lead to the RAG system being unable to answer questions it previously could. AI

IMPACT Highlights potential pitfalls in RAG implementation, emphasizing the need for careful configuration of API parameters and awareness of tool-specific behaviors like context compression.

RANK_REASON Developer troubleshooting guide for RAG system inconsistencies.

Read on dev.to — LLM tag →

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

RAG inconsistency traced to API defaults and silent prompt truncation

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39 / 100
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Developer troubleshooting guide for RAG system inconsistencies.
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product, infra
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High
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Neilton Rocha ·

    My RAG gave different answers to the same question. One setting I never set, one I never checked

    <p><strong>TL;DR:</strong> Non-deterministic RAG answers with no error came from two things: <code>temperature</code> and <code>seed</code> left to the provider's defaults, and OpenRouter's context-compression plugin cutting the middle of long prompts. I found it when the same ex…

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