The Complete Agentic RAG Build: 8 Modules, 2+ Hours, Full Stack

Uploaded: 2026-01-28
This video is a masterclass on building a Retrieval-Augmented Generation (RAG) application using Claude Code, focusing on advanced agentic techniques to integrate private company data with AI. It outlines the project structure, technologies involved, and provides a step-by-step guide for viewers to follow along and develop their own RAG web app.

channel	The AI Automators
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Hands-on masterclass building an agentic RAG app with Claude Code and practical demos.
– Architecture and stack: React front end, TypeScript, Tailwind, Python/FastAPI backend, Supabase, Dockling.
– Eight-module PRD: ingestion, record manager, metadata filtering, hybrid search, re-ranking, tools, sub-agents.
– Practical AI dev loop: Claude Code collaboration, LangSmith observability, local and cloud models, validation.

Quotes:

RAG remains the fundamental way to ground AI in private company data.

You can’t stuff absolutely everything into a context window — retrieval still wins.

You either collaborate and stay in the loop or you delegate and walk away.