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Agent Memory & RAG

Claude Code Agentic Rag Masterclass

Claude Code Agentic RAG Masterclass is an eight-module course and repository of guidance for collaborating with Claude Code to build an agentic retrieval-augmented generation application. Learners guide the coding process and study its APIs, data services and system design. The planned app combines document ingestion, chat, retrieval, tools and subagents.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Claude Code Agentic Rag Masterclass — OpenViST project profile in Agent Memory & RAG.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the course when you want a structured, repository-based path for collaborating with Claude Code on a RAG application, and are prepared to learn about APIs, databases and system architecture.

Who it is for

  • Technically minded learners who want to build and understand a RAG application with Claude Code.
  • Developers exploring document ingestion, hybrid retrieval, reranking and agentic tool patterns.

Documented uses

  • Build a document-chat application with threaded conversations and streaming responses.
  • Create ingestion for PDF, DOCX, HTML and Markdown files.
  • Combine keyword and vector search with reciprocal-rank fusion and reranking.
  • Add text-to-SQL, web-search fallback or isolated-context document-analysis subagents.
Before you choose

Requirements & limits

  • The README says coding experience is not required, while technical-mindedness and willingness to learn about APIs, databases and architecture are expected.
  • The named stack includes React, TypeScript, Tailwind, shadcn/ui and Vite; Python and FastAPI; Supabase with Postgres, pgvector, Auth and Storage; Docling; LM Studio or OpenAI and OpenRouter; and LangSmith.
  • The README describes a course build, not a deployed product or benchmarked implementation.
  • The repository’s documented starting path requires Claude Code and an IDE, followed by terminal onboarding.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare the repository for Claude Code onboarding

Set up the course project and begin its documented onboarding flow.

Before you start

  • The project repository
  • Claude Code installed
  • An IDE such as Cursor or VS Code
  • A terminal

Steps

  1. Clone the repository.

  2. Install Claude Code.

  3. Open the cloned project in an IDE.

  4. Run claude in the terminal.

  5. Use the /onboard command to get started.

Expected outcome

The course onboarding flow is started from the repository in Claude Code.

Guide limitations

  • These steps cover setup and onboarding only; they do not establish that the application has been built or run.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
16 October 2026
Original website title
theaiautomators/claude-code-agentic-rag-masterclass · Official homepage title · retained in its source language
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