Advanced Topics

This section builds on the backend and mobile app you've already built. You'll take your chat bot from a simple Q&A system to a truly intelligent assistant.

What's Inside

Agentic AI (advanced/agentic/)

Give your AI the ability to use tools — a calculator, Wikipedia search, and more. The AI decides when to use each tool, calls it, and uses the result to answer your questions.

  • Step 1: What are agents?
  • Step 2: Tools and function calling
  • Step 3: Building a research agent
  • Step 4: Chain-of-thought reasoning
  • Step 5: Enhance your chat app with agentic tools
  • Challenges and solutions

RAG — Retrieval-Augmented Generation (advanced/rag/)

Give your AI access to a knowledge base of real documents. Instead of relying only on training data, your AI searches for relevant information and answers based on what it finds.

  • Step 1: What is RAG?
  • Step 2: Embeddings and vectors
  • Step 3: Set up pgvector
  • Step 4: Ingest knowledge
  • Step 5: Enhance your chat app with RAG
  • Challenges and solutions

Prerequisites

Before starting these sections, you should have completed:

  1. All 6 backend steps
  2. All 5 mobile app steps
  3. The concepts on LLMs (concepts/05-llm-comparison.md)

Development Principles

Throughout these sections, you'll practice professional development workflows:

  • Write tests alongside your code
  • Lint with ruff before committing
  • Design first, implement second
  • Mock external services in tests
← Solutions