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RAG Retrieval Pattern Design

Category: General  ·  Sub-category: ai-tooling  ·  Last updated:
ai:rag
Use when designing or fixing the retrieval side of a RAG system, choosing chunking strategy (fixed-size / recursive / semantic), implementing hybrid search (BM25 + dense) with RRF fusion, adding a cross-encoder reranker, evaluating with RAGAS, or running an index-freshness pipeline. Triggers: "RAG keeps citing the wrong doc", chunk size 512 tokens with overlap, RRF reciprocal rank fusion, dense+sparse hybrid, cross-encoder rerank top-5, RAGAS faithfulness / context precision, voyage-3-large vs text-embedding-3-large, daily / hourly reindex cadence. NOT for fine-tuning vs RAG decision (separate skill), agentic tool-use designs, vector DB operational tuning, or general LLM prompt engineering.
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About this skill (catalog notes)

RAG Retrieval Pattern Design includes pricing or quota commentary; 10 code blocks for direct copy-paste. At roughly 2,492 words the SKILL.md is on the longer end of the catalog distribution.

Original author
curiositech
Indexed lastmod
Catalog position
General · ai-tooling
Indexed related skills
10

How RAG Retrieval Pattern Design fits the catalog

RAG Retrieval Pattern Design sits in the General category under the ai-tooling sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

When RAG fails, retrieval is the bug ~73% of the time — and ~80% of those trace to the ingestion / chunking layer. ([premai.io — Building Production RAG (2026)][premai-rag]) The LLM is faithfully reporting what you handed it; the problem is what you handed it. So the order of work is fixed: chunking → embeddings → hybrid search → rerank → eval → freshness. Get those right and you're at 90% of the achievable quality. Spend the same week on prompt engineering and you'll move 5%.

chunking            recursive 512-token chunks, 10-20% overlap
embeddings          voyage-3-large (or text-embedding-3-large; pick by MTEB on YOUR domain)
retrieval           hybrid: BM25 + dense, fused via RRF (k=60), top-20
rerank              cross-encoder, return top-5
eval                RAGAS — faithfulness ≥ 0.85, context precision ≥ 0.75
…

What this skill does

RAG Retrieval Pattern Design is a community-contributed Claude Code skill in the ai-tooling sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/rag-retrieval-pattern-design/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when designing or fixing the retrieval side of a RAG system, choosing chunking strategy (fixed-size / recursive / semantic), implementing hybrid search (BM25 + dense) with RRF fusion, adding a cross-encoder reranker, evaluating with RAGAS, or running an index-freshness pipeline. Triggers: "RAG keeps citing the wrong doc", chunk size 512 tokens with overlap, RRF reciprocal rank fusion, dense+sparse hybrid, cross-encoder rerank top-5, RAGAS faithfulness / context precision, voyage-3-large vs text-embedding-3-large, daily / hourly reindex cadence.

Who uses this skill

The RAG Retrieval Pattern Design Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 115,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/rag-retrieval-pattern-design
curl -L https://claudskills.com/skills/rag-retrieval-pattern-design/SKILL.md \
  -o ~/.claude/skills/rag-retrieval-pattern-design/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/rag-retrieval-pattern-design/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/rag-retrieval-pattern-design/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\rag-retrieval-pattern-design\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the RAG Retrieval Pattern Design Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/rag-retrieval-pattern-design/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the RAG Retrieval Pattern Design skill do?
Use when designing or fixing the retrieval side of a RAG system, choosing chunking strategy (fixed-size / recursive / semantic), implementing hybrid search (BM25 + dense) with RRF fusion, adding a cross-encoder reranker, evaluating with RAGAS, or running an index-freshness pipeline. Triggers: "RAG keeps citing the wrong doc", chunk size 512 tokens with overlap, RRF reciprocal rank fusion, dense+sparse hybrid, cross-encoder rerank top-5, RAGAS faithfulness / context precision, voyage-3-large vs text-embedding-3-large, daily / hourly reindex cadence. NOT for fine-tuning vs RAG decision (separate skill), agentic tool-use designs, vector DB operational tuning, or general LLM prompt engineering.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the RAG Retrieval Pattern Design skill?
Use RAG Retrieval Pattern Design when your Claude Code task falls under the General category — specifically in the ai tooling area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use RAG Retrieval Pattern Design" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the RAG Retrieval Pattern Design skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. RAG Retrieval Pattern Design is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
curiositech. (2026). RAG Retrieval Pattern Design [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/rag-retrieval-pattern-design/
BibTeX
@misc{rag-retrieval-pattern-design-2026,
  author    = {curiositech},
  title     = {RAG Retrieval Pattern Design [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/rag-retrieval-pattern-design/}
}

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Security scan

Grade A · scanned 2026-06-13 — free static scan against the OWASP Agentic Skills Top 10.

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