claude-code-agentic-rag-masterclass
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.
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Added 3/9/2026
AI Agentsagentaiclaude-coderag
Installation
# Add to your Claude Code skills
git clone https://github.com/theaiautomators/claude-code-agentic-rag-masterclassCloud 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
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