Module 7: RAG Pipelines

Module 7: RAG Pipelines#

CodeVision Python Training

Contents#

  • Group 1: Why RAG? (Sections 7.1-7.4)

  • Group 2: RAG Architecture (Sections 7.5-7.8)

  • Group 3: Building RAG Pipelines (Sections 7.9-7.12)

  • Group 4: RAG Failure Modes (Sections 7.13-7.16)

  • Group 5: Production RAG (Sections 7.17-7.20)

Welcome to Module 7#

This module teaches you how to build complete RAG (Retrieval-Augmented Generation) pipelines, combining retrieval and generation into reliable AI systems.

It is architecture-focused with working code, showing you how to design, build, and debug RAG systems. By the end of this module, you will understand why RAG systems fail and how to make them robust.

This module builds directly on:

  • Module 1: Python fundamentals (functions, classes)

  • Module 3: LLM Fundamentals (prompting, inference)

  • Module 5: Embeddings & Vector Databases (retrieval, similarity)

  • Module 6: LLM APIs (clients, validation, reliability)

What You Will Learn#

Topic

Why It Matters

RAG architecture

Understand retriever + generator pattern

Pipeline components

Build modular, testable systems

Evidence-first prompting

Ground LLM answers in retrieved context

Guardrails

Implement score thresholds and refusal behavior

Near-miss problem

Handle semantically similar but wrong results

Chunking strategies

Optimize document splitting for retrieval

Evaluation metrics

Measure retrieval quality with Precision@k

Production patterns

Build reliable enterprise RAG systems

Prerequisites#

Before starting this module, ensure you have:

  • Completed Module 1 (Python Foundations)

  • Completed Module 3 (LLM Fundamentals)

  • Completed Module 5 (Embeddings & Vector Databases)

  • Completed Module 6 (LLM APIs)

Module 7 Learning Path#

  1. Content - Work through the interactive notebook

  2. Quiz - Test your understanding (auto-graded)

  3. Assessment - Coding tasks (retriever, RAG prompt, guardrails, pipeline, evaluation) + written explanation (auto-graded)

  4. Resources - Additional learning materials

End of Module 7 Introduction#

Click Content in the navigation to begin the interactive lesson.

Contents