Ollama in Action: Building Safe, Private AI with LLMs, Function Calling and Agents

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Use Ollama to run LLMs locally for privacy and control of your tech stack. We look at Tools/function calling and agents in detail.

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Ollama in Action: Building Safe, Private AI with LLMs, Function Calling and Agents21 chapters

Begin
  1. Preface

  2. Setting Up Your Computing Environment for Using Ollama and Using Book Example Programs

  3. Using Ollama From the Command Line

  4. Short Examples

  5. LLM Tool Calling with Ollama

  6. Pydantic AI Experiments

  7. Automatic Evaluation of LLM Results: More Tool Examples

  8. Prompt Caching

  9. Building Agents with Ollama and the Hugging Face Smolagents Library

  10. Using AG2 Open-Source AgentOS LLM-Based Agent Framework for Generating and Executing Python Code

  11. Using the Unsloth Library on Google Colab to FineTune Models for Ollama

  12. DSP Experiments

  13. Reasoning with Large Language Models

  14. Using Property Graph Database with Ollama

  15. LangGraph

  16. Using the Open Codex Command Line Interface Coding Agent

  17. Long Term Persistence Using Mem0 and Chroma

  18. Using Ollama Cloud Services

  19. Semantic Navigator App Using Gradio

  20. RAG Using zvec Vector Datastore and Local Model

  21. Book Wrap Up