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Chapter 5: Building LLM-Powered Applications and Agents

This chapter focuses on practical application development, covering everything from basic API usage to sophisticated agent systems and deployment strategies.

Series in This Chapter​

Series 1: Application Development Fundamentals​

  • Article 66: Introduction to LLM APIs and SDKs (2025 Edition)
  • Article 67: Your First LLM-Powered Application
  • Article 68: Building Robust Q&A Systems
  • Article 69: Creating Advanced Text Processing Tools
  • Article 70: Developing Content Generation Systems

Series 2: Agent Development and Tool Use​

  • Article 71: Introduction to AI Agents and Tool-Using Systems
  • Article 72: The Model Context Protocol (MCP): Connecting LLMs to Tools
  • Article 73: Building Agents with Function Calling
  • Article 74: Creating Multi-Agent Systems and Workflows
  • Article 75: Agent Memory and State Management

Series 3: Advanced Application Patterns​

  • Article 76: Retrieval Augmented Generation (RAG) Systems
  • Article 77: Building LangChain-Powered Applications
  • Article 78: Introduction to LlamaIndex and Knowledge Graphs
  • Article 79: Integrating LLMs with External Services and APIs
  • Article 80: Deploying and Scaling LLM Applications

Learning Objectives​

By the end of this chapter, you will:

  • Know how to build and deploy LLM-powered applications
  • Understand agent development and tool integration
  • Master advanced application patterns like RAG and multi-agent systems
  • Be familiar with popular frameworks and libraries
  • Know how to scale and deploy production-ready systems