theaiautomators

Claude Code Agentic RAG Series — Data & AI agent for Claude Code

Data & AI community intermediate

Planning docs and PRDs for the Claude Code Agentic RAG Masterclass video series.

How to install Claude Code Agentic RAG Series

This entry records only its repository, not the path inside it, so there is no exact command to give. Open theaiautomators/claude-code-agentic-rag-series and copy the folder into ~/.claude/agents/.

What Claude Code Agentic RAG Series does

Planning docs and PRDs for the Claude Code Agentic RAG Masterclass video series. Build a full-stack AI app with Python, React, and Supabase.

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README

The AI Automators

Claude Code Agentic RAG Series

A reference implementation and learning foundation for building **agentic RAG systems with AI coding tools**.

This project was built collaboratively with Claude Code across multiple video episodes, where each episode adds new capabilities. This public repository contains the **PRDs, prompts, and planning documents** used to build each episode.

Claude Code RAG Masterclass

The Episodes

Episode	Title	What It Adds
Episode 1	Agentic RAG Masterclass	Full RAG foundation: chat UI, document ingestion, hybrid search, tool calling, sub-agents
Episode 2	Knowledge Base Explorer	Filesystem-like tools for hierarchical knowledge navigation
Episode 3	PII Redaction & Anonymization	Privacy layer ensuring sensitive data never reaches cloud LLMs
Episode 4	Agent Skills & Code Sandbox	Reusable skills system + Python execution in Docker containers
Episode 5	Advanced Tool Calling	Dynamic tool registry, sandbox bridge, MCP integration
Episode 6	Agent Harness & Workflows	Deep Mode autonomous agent, domain-specific harness engine, contract review workflow

The App

The Agentic RAG App is a full-stack AI application built on **Python, React, and Supabase**.

It includes user authentication, a chat interface, document ingestion, and a complete RAG pipeline with hybrid search and reranking. The chat supports agentic features like text-to-SQL, web search, sub-agents, and a knowledge base explorer with filesystem-like tools.

Advanced features include an Agent Skills system, a code sandbox for executing Python in isolated Docker containers, PII redaction for removing sensitive data, and a full autonomous agent platform with Deep Mode for multi-step tasks and a domain-specific harness engine for deterministic workflows (including a contract review harness with DOCX report generation).

Choose Your Path

Path 1: Build from Scratch

The deepest learning experience. You're not starting with any scaffold—you're building the entire system yourself.

**Get started:** Watch the [YouTube episodes](https://www.youtube.com/watch?v=4Tp6nPZa5is&list=PLmc6yUBIbca9ALRkJtz2Z4zLjkYXy1Y1n&pp=sAgC), use the PRDs in this repo, and build everything with Claude Code. You have everything you need right here.