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RAG Pipelines: What to Get Right Before You Scale

Retrievalqualitybeatsmodelsizeformostinternalknowledgeassistants.Focusonthesepipelinefundamentalsfirst.

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RAG Pipelines: What to Get Right Before You Scale

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TechSpeck Team

AI & Systems

9 min readOctober 18, 2025
AI & Automation

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Most RAG failures are retrieval failures: wrong chunks, stale documents, or missing permissions boundaries.

Build a Real Evaluation Loop

  • Chunking strategy that matches how documents are read
  • Hybrid search when keyword match still matters
  • Grounded answers with citations

Treat prompts as the last mile — fix retrieval and context first.

TopicsLLMRAGsearchvector DB

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