claude-code-agentic-rag-masterclass

Name: claude-code-agentic-rag-masterclass
Author: theaiautomators

Verified

Build an agentic RAG app from scratch by collaborating with Claude Code. 8-module course covering hybrid search, reranking, text-to-SQL, subagents, and more. React + FastAPI + Supabase.

167stars

88forks

Installation

# Add to your Claude Code skills
git clone https://github.com/theaiautomators/claude-code-agentic-rag-masterclass

Getting Started

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Security ReportVerified

Last scanned: 5/30/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-05-30T15:55:23.919Z",
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is claude-code-agentic-rag-masterclass?

claude-code-agentic-rag-masterclass is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by theaiautomators. Build an agentic RAG app from scratch by collaborating with Claude Code. 8-module course covering hybrid search, reranking, text-to-SQL, subagents, and more. React + FastAPI + Supabase. It has 167 GitHub stars.

Is claude-code-agentic-rag-masterclass safe to use?

Yes. claude-code-agentic-rag-masterclass passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install claude-code-agentic-rag-masterclass?

Clone the repository with "git clone https://github.com/theaiautomators/claude-code-agentic-rag-masterclass" and add it to your Claude Code skills directory (see the Installation section above).

Are there alternatives to claude-code-agentic-rag-masterclass?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-code-agentic-rag-masterclass against similar tools.

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Cloud Code Agentic RAG Masterclass

Build an agentic RAG application from scratch by collaborating with Claude Code. Follow along with our video series using the docs in this repo.

Watch the full video on YouTube

What This Is

A hands-on course where you collaborate with Claude Code to build a full-featured RAG system. You're not the one writing code—Claude is. Your job is to guide it, understand what you're building, and course-correct when needed.

You don't need to know how to code. You do need to be technically minded and willing to learn about APIs, databases, and system architecture.

What You'll Build

Chat interface with threaded conversations, streaming, tool calls, and subagent reasoning
Document ingestion with drag-and-drop upload and processing status
Full RAG pipeline: chunking, embedding, hybrid search, reranking
Agentic patterns: text-to-SQL, web search, subagents with isolated context

Tech Stack

Layer	Tech
Frontend	React, TypeScript, Tailwind, shadcn/ui, Vite
Backend	Python, FastAPI
Database	Supabase (Postgres + pgvector + Auth + Storage)
Doc Processing	Docling
AI Models	Local (LM Studio) or Cloud (OpenAI, OpenRouter)
Observability	LangSmith

The 8 Modules

App Shell — Auth, chat UI, managed RAG with OpenAI Responses API
BYO Retrieval + Memory — Ingestion, pgvector, switch to generic completions API
Record Manager — Content hashing, deduplication
Metadata Extraction — LLM-extracted metadata, filtered retrieval
Multi-Format Support — PDF, DOCX, HTML, Markdown via Docling
Hybrid Search & Reranking — Keyword + vector search, RRF, reranking
Additional Tools — Text-to-SQL, web search fallback
Subagents — Isolated context, document analysis delegation

Getting Started

Clone this repo
Install Claude Code
Open in your IDE (Cursor, VS Code, etc.)
Run claude in the terminal
Use the /onboard command to get started

Docs

PRD.md — What to build (the 8 modules in detail)
CLAUDE.md — Context for Claude Code
PROGRESS.md — Track your build progress

Join the Community

If you want to connect with hundreds of builders creating production-grade AI and RAG systems, join us in The AI Automators community. Share your progress, get help when you're stuck, and see what others are building.