> ## Documentation Index
> Fetch the complete documentation index at: https://plantis.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Semantic Search

> Search AI thought leadership content using natural language

# Semantic Search

Search through curated AI thought leadership content using natural language queries. Our semantic search understands meaning, not just keywords.

<Tip>
  **Press `Cmd+K` (Mac) or `Ctrl+K` (Windows)** to open the search modal and find articles instantly.
</Tip>

<Info>
  Search works across both Framework documentation and Knowledge Base articles. Results link directly to local content for offline reading.
</Info>

## How It Works

1. **Enter your question** - Use natural language like "How should I plan before coding with AI?"
2. **Filter results** - Narrow by author, topic, or content type (tutorial, how-to, reference, explanation)
3. **Explore matches** - Click any result to read the full article

## Content Sources

We track thought leadership from:

<CardGroup cols={3}>
  <Card title="Anthropic Engineering" icon="robot" href="/kb/authors/anthropic-engineering">
    Official blog posts about Claude, agents, and AI safety
  </Card>

  <Card title="Dan Shipper (Every)" icon="pen" href="/kb/authors/dan-shipper-every">
    Practical insights on AI-assisted coding workflows
  </Card>

  <Card title="Simon Willison" icon="code" href="/kb/authors/simon-willison">
    Deep dives into LLM applications and tooling
  </Card>
</CardGroup>

## Diátaxis Content Types

Articles are classified using the [Diátaxis framework](https://diataxis.fr/):

| Type            | Purpose                | Example Query                     |
| --------------- | ---------------------- | --------------------------------- |
| **Tutorial**    | Learning-oriented      | "How to build my first AI agent"  |
| **How-to**      | Task-oriented          | "Fix context window limits"       |
| **Reference**   | Information-oriented   | "Claude API parameters"           |
| **Explanation** | Understanding-oriented | "Why agents need better planning" |