What is rag-development?

A guide to building retrieval-augmented generation (RAG) systems, which let an AI find relevant information and use it when producing an answer. It covers document splitting, text representations, search databases, result ranking, evaluation, and deployment.

Use it to design, build, tune, evaluate, and deploy systems that search a document collection before generating answers.

RAG projects involve many connected choices about how information is stored, found, ranked, and measured. This guide brings those design and implementation topics together.

rag-development — Plugin for Claude Code by acaprino/daodan

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/acaprino/daodan

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/plugins/acaprino/daodan/rag-development/github.svg)](https://agentmods.dev/plugins/acaprino/daodan/rag-development)

Your own site

<a href="https://agentmods.dev/plugins/acaprino/daodan/rag-development"><img src="https://agentmods.dev/badge/plugins/acaprino/daodan/rag-development/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/plugins/acaprino/daodan/rag-development"><img src="https://agentmods.dev/badge/plugins/acaprino/daodan/rag-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured The manifest loads nothing itself; its 1 skill, 1 command, 2 agents cost 300 tokens a session between them.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

rag-development scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

exports/claude/plugins/rag-development/.claude-plugin/plugin.json · 10 lines

What it actually says

{
  "author": {
    "name": "Alfio Caprino"
  },
  "description": "RAG system design, implementation, and optimization - chunking strategies, embedding models (Voyage 4 family, OpenAI v3, Cohere embed-v4, Gemini, BGE-M3, NV-Embed-v2, Nomic MoE, Jina v3), vector databases (Qdrant 1.13-1.16), hybrid search, modern rerankers (Voyage rerank-2.5, Cohere Rerank 3.5, Jina Reranker v3, mxbai-rerank-v2), advanced patterns (HippoRAG, LightRAG, LongRAG, Agentic RAG, CRAG, Self-RAG, GraphRAG), evaluation (RAGAS/DeepEval/TruLens), and production deployment",
  "license": "MIT",
  "name": "rag-development",
  "version": "1.6.2"
}

Contents

What it installs

The manifest is a name and a version. 1 skill, 1 command, 2 agents travel with it, and installing the plugin installs all of them — 300 tokens a session between them. Each is measured on its own page, and each can be installed alone.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago Changed d9c53d4cf65a
12d ago Changed 77b7f8edbe4f
1mo ago First seen · 10 lines scan A 468cacad9600

Subscribe to this mod's changes

rag-development is a plugin published in the GitHub repository acaprino/daodan (9 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

Data and AI RAG and vectors

veritasreason

Full-stack knowledge graph skills: semantic extraction, decision intelligence, context graphs, reasoning, explainability, ontology, provenance, deduplication, visualization, and multi-format export.

bibinprathap/VeritasGraph · not measured

clip-aware-embeddings

Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic…

curiositech/some_claude_skills · not measured

rag-development

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

What it actually says

What it installs

What this file has done since we first saw it

Other plugins, from other repositories

veritasreason

clip-aware-embeddings

rag-reviewer

rag

powabase

mixedbread-skills