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Advanced and secure RAG

Go beyond basic embeddings with better chunking, reranking, permissions, citations, monitoring and production safety.

Intermediate 14 lessons Free access · open content
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Lessons are available in English. Code snippets keep original commands and file names intact.

modules
3
lessons
14
status
open
Learning outcome

What you will be able to do

  • Understand the core technical decisions
  • Apply the workflow in guided lessons
  • Evaluate a practical result
Final deliverable

A practical project with explicit verification and next steps.

Before you start

Learners who want to move from concepts to a working, reviewable project.

  • • Basic computer skills
  • • Time to complete the guided exercises
≈ 12 hApplied AI

Updated: July 18, 2026

Roadmap

Syllabus

14 steps

module 01 / Foundations that matter

5 lessons
  1. 1Useful RAG: much more than PDF chat/rag-seguro/mapa-rag
  2. 2Ingestion, cleaning, and chunking/rag-seguro/ingesta-chunking
  3. 3Advanced Chunking for Private RAG/rag-seguro/chunking-avanzado
  4. 4Local GraphRAG and graph-based memory/rag-seguro/graphrag-local
  5. 5OCR and Tables in Real-World PDFs/rag-seguro/ocr-tablas

module 02 / Better retrieval

4 lessons
  1. 6Embeddings and Vector Databases/rag-seguro/embeddings-vector-db
  2. 7Hybrid search and reranking/rag-seguro/hybrid-reranking
  3. 8Qdrant Multi-User and Permissions/rag-seguro/qdrant-permisos
  4. 9Local second brain with Obsidian and RAG/rag-seguro/obsidian-segundo-cerebro

module 03 / Security and production

5 lessons
  1. 10Prompt injection in RAG/rag-seguro/prompt-injection
  2. 11Debugging RAG: grounding and the full prompt/rag-seguro/debugging-grounding
  3. 12Structured responses with citations/rag-seguro/respuestas-estructuradas-citas
  4. 13RAG Evals with Metrics/rag-seguro/evals-metricas
  5. 14Evals, citations, and traceability/rag-seguro/evals-citaciones
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Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

AI for small businesses and freelancersUse AI where it improves real work.Beginner to intermediate · 20 lessonsView course Generative AI: image, voice and videoCreate production-ready media with AI pipelines.Beginner to intermediate · 7 lessonsView course Games, 3D and simulations with AIPrototype interactive worlds with AI-assisted tools.Beginner to intermediate · 6 lessonsView course

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

Aulafy foundationsPython, Git, terminal, and Docker for learning AI smoothly.Beginner · 6 lessonsView course Codex for programmersBuild, test, and ship changes with OpenAI Codex.Beginner to advanced · 10 lessonsView course Claude Code, from zero to proBuild real software by talking to AI in your terminal.Beginner to advanced · 24 lessonsView course Claude Code + Local AIPrivate AI tools that run on your machine.Intermediate · 34 lessonsView course

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

Advanced and secure RAGYou are hereBuild retrieval systems that answer better and leak less.Intermediate · 14 lessonsView course Agents and automationDesign agents that can work, recover and stay under control.Intermediate to advanced · 20 lessonsView course Production agents with LangGraph and n8nTake agent prototypes into reliable operations.Intermediate to advanced · 9 lessonsView course Self-hosted AI automation for small businessesRun AI workflows on your own infrastructure.Intermediate · 10 lessonsView course AI Router and content systemRoute local and frontier models with quality, cost, and privacy controls.Intermediate to advanced · 6 lessonsView course AI security and evaluationMeasure, test and harden AI systems before trusting them.Intermediate · 7 lessonsView course Local MLOps and model deploymentServe, monitor and operate models from your own stack.Intermediate to advanced · 10 lessonsView course Fine-tuning and post-training for LLMsTrain useful adapters without losing control.Intermediate to advanced · 8 lessonsView course

You do not need every course: choose the component your system needs and return as it grows.

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