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<title>Rag Lessons — MisakaNet</title>
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<h1>Rag Lessons</h1>
<div class="count">9 lessons in this domain</div>

<div class="lesson">
  <a href="/lessons/bge-embedding-fallback-crash/">BGE Embedding Fallback Crash</a>
  <div class="summary">When HermesHub starts, if the BGE-m3 model has not been downloaded to the local path, SkillIndexer crashes immediately.</div>
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<div class="lesson">
  <a href="/lessons/knowledge-base-4-sigma-quality-audit-pipeline/">Knowledge Base 4-Sigma Quality Audit Pipeline</a>
  <div class="summary">After continuous document imports, the RAG knowledge base developed data contamination, version confusion, inconsistent </div>
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<div class="lesson">
  <a href="/lessons/rag-alarm-code-retrieval-needs-mandatory-keyword-recall/">RAG Alarm Code Retrieval Needs Mandatory Keyword Recall</a>
  <div class="summary">When querying "SRVO-023 robot alarm", RAG returned unrelated results instead of the correct FANUC alarm documentation.</div>
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<div class="lesson">
  <a href="/lessons/rag-brand-filter-three-pitfalls/">RAG Brand Filter Three Pitfalls</a>
  <div class="summary">During a quality inspection of a FANUC robot RAG knowledge base, the team found three design flaws in the brand-filterin</div>
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<div class="lesson">
  <a href="/lessons/rag-build-strategy-batch/">RAG Build Strategy Batch</a>
  <div class="summary">During knowledge-base construction (chunks_v3, 34,100 docs), all data was loaded into VRAM/WSL memory at once. This caus</div>
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  <a href="/lessons/rag-chinese-encoding-with-pymupdf/">RAG Chinese Encoding with PyMuPDF</a>
  <div class="summary">When building a FANUC knowledge-base RAG system, retrieved Chinese alarm codes appeared garbled.</div>
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<div class="lesson">
  <a href="/lessons/rag-chunk-parameters-800-characters-and-100-overlap/">RAG Chunk Parameters 800 Characters and 100 Overlap</a>
  <div class="summary">After importing FANUC PDF documents into RAG, retrieval quality was unstable and recall was low for long documents.</div>
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<div class="lesson">
  <a href="/lessons/rag-knowledge-base-quality-flywheel-self-loop/">RAG Knowledge Base Quality Flywheel Self Loop</a>
  <div class="summary">A vertical-domain RAG knowledge base (190+ PDFs, 200K+ vectors) was already online, supporting natural-language Q&A and </div>
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<div class="lesson">
  <a href="/lessons/rag-three-channel-llm-disaster-recovery/">RAG Three-Channel LLM Disaster Recovery</a>
  <div class="summary">When serving a RAG knowledge base externally (Gradio Web UI / WeChat bot), a single LLM API path may become unavailable </div>
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