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rag-patterns

Deep, practical guide to retrieval-augmented generation that actually grounds answers — chunking, embeddings, vector + hybrid/BM25 search, reranking, context assembly, citation, and evaluation. Includes worked configs, a grounding prompt template, and a runnable chunker.

$npx vanara install rag-patterns

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Overview

RAG grounds a model in *your* data so it answers from retrieved facts instead of parametric memory. The single most important truth in this skill: most RAG quality problems are retrieval problems, not generation problems. If the right chunk never enters the context window, no amount of prompt tuning will save the answer. This package is the deep reference — pipeline detail lives in references/, co

What it covers

Details

Tier
Pro — $10/mo
Version
2.0.0
Depth
3 references · 2 examples · 1 runnable scripts
Verification
1/1 runnable checks passing ✓
Runs on
Your own Claude Code — no API keys
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