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The following table covers the most common knowledge and document processing anti-patterns that affect agent response quality and accuracy.
⭐️ Most common anti-patterns, 🫆 Detectable
Anti-patternProblemImpactFix
Assumed trust in the knowledge sourceAssume truthAmplified errorsVerification
⭐️ ‘RAG will fix disorganized knowledge’Poor structureBad outputsFix knowledge
Knowledge retrieval token bloat 🫆Over-fetchingLarge token wasteTop-N retrieval and organize knowledge
⭐️ One-size-fits-all chunking 🫆Fixed chunksBroken semanticsContent-aware
Using RAG for whole-document operations 🫆Wrong toolStructure lossUse DB/API
Ignoring file format implicationsSame processingLost structureFormat-aware
Mixing extraction with processing 🫆Overloaded extractorErrorsSeparate steps
Lazy field definitions 🫆Vague schemaFuzzy field errorsExplicit fields
Foundational architecture considerations Tooling and scalability considerations