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Welcome to the Hive 🐝

Bee is the open-source AI knowledge hive — a community-built library of everything you need to learn and build with modern AI. Clear theory, runnable examples, production patterns, and guided learning paths, all held to one quality bar: every page is finished and useful.

  • Learn from first principles

    Understand why, not just how. From how an LLM predicts the next token to how a multi-agent system plans.

    Start with Concepts

  • Everything runs

    Each example is a self-contained project with pinned dependencies and tests. Clone it, add a key, run it.

    First LLM call

  • Follow a path

    Don't read randomly. Structured learning paths sequence content so each idea builds on the last.

    Learning paths

  • Built by the community

    Bee is owned by everyone who contributes. Fix a typo or write a tutorial — you belong here.

    Contribute

What you can learn here

How this site is organized

Every topic page follows the same structure, so you always know what to expect:

flowchart LR
    O[Overview] --> L[Learning<br/>Objectives] --> T[Theory] --> P[Practical<br/>Example]
    P --> B[Best<br/>Practices] --> M[Common<br/>Mistakes] --> E[Exercises] --> R[References]

Content is tagged by difficulty so you can meet yourself where you are:

  • 🟢 Beginner — assumes general programming knowledge only
  • 🟡 Intermediate — assumes you've built basic LLM features
  • 🔴 Advanced — assumes production experience

New here?

If you've never called an LLM API, start with Getting Started, then follow the AI Engineer — Fundamentals path. If you're experienced, jump straight to RAG or Agents.

A living project

Bee grows in public. See what's next on the Roadmap, join the conversation in Discussions, and if Bee helps you, ⭐ the repository so others can find the hive.

Learn AI. Build AI. Share AI. 🐝