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

# Examples

> Explore Pipecat Flows examples for common conversation patterns.

Explore these examples to see Pipecat Flows in action. Each example demonstrates different patterns and techniques for building structured conversations.

<CardGroup cols={2}>
  <Card title="Hello World" icon="rocket" href="https://github.com/pipecat-ai/pipecat-flows/tree/main/examples/quickstart">
    A great first Flow to show you the ropes. Two-node flow that asks for a
    favorite color.
  </Card>

  <Card title="Food Ordering" icon="burger" href="https://github.com/pipecat-ai/pipecat-flows/blob/main/examples/food_ordering.py">
    Multi-step ordering flow with menu selection, customization, and checkout.
  </Card>

  <Card title="Restaurant Reservation" icon="utensils" href="https://github.com/pipecat-ai/pipecat-flows/blob/main/examples/restaurant_reservation.py">
    Collect party size, date, time, and contact details for a reservation.
  </Card>

  <Card title="Patient Intake" icon="hospital" href="https://github.com/pipecat-ai/pipecat-flows/blob/main/examples/patient_intake.py">
    Healthcare intake flow collecting patient information and symptoms.
  </Card>

  <Card title="Insurance Quote" icon="shield" href="https://github.com/pipecat-ai/pipecat-flows/blob/main/examples/insurance_quote.py">
    Guided flow for collecting insurance quote details with state management.
  </Card>

  <Card title="LLM Switching" icon="arrows-rotate" href="https://github.com/pipecat-ai/pipecat-flows/blob/main/examples/llm_switching.py">
    Switch between LLM providers mid-conversation based on task requirements.
  </Card>

  <Card title="Warm Transfer" icon="phone-arrow-right" href="https://github.com/pipecat-ai/pipecat-flows/blob/main/examples/warm_transfer.py">
    Transfer a conversation to a human agent with context handoff.
  </Card>
</CardGroup>

<Tip>
  All examples are available in the [pipecat-flows GitHub
  repository](https://github.com/pipecat-ai/pipecat-flows/tree/main/examples).
</Tip>