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

# LanceDB Integration

## Example

```python theme={null}
import typer
from typing import Optional
from rich.prompt import Prompt

from phi.agent import Agent
from phi.knowledge.pdf import PDFUrlKnowledgeBase
from phi.vectordb.lancedb import LanceDb
from phi.vectordb.search import SearchType

# LanceDB Vector DB
vector_db = LanceDb(
    table_name="recipes",
    uri="/tmp/lancedb",
    search_type=SearchType.keyword,
)

# Knowledge Base
knowledge_base = PDFUrlKnowledgeBase(
    urls=["https://phi-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
    vector_db=vector_db,
)

# Comment out after first run
knowledge_base.load(recreate=True)


def lancedb_agent(user: str = "user"):
    run_id: Optional[str] = None

    agent = Agent(
        run_id=run_id,
        user_id=user,
        knowledge=knowledge_base,
        show_tool_calls=True,
        debug_mode=True,
    )

    if run_id is None:
        run_id = agent.run_id
        print(f"Started Run: {run_id}\n")
    else:
        print(f"Continuing Run: {run_id}\n")

    while True:
        message = Prompt.ask(f"[bold] :sunglasses: {user} [/bold]")
        if message in ("exit", "bye"):
            break
        agent.print_response(message)


if __name__ == "__main__":
    typer.run(lancedb_agent)

```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">
    ```bash theme={null}
    pip install -U lancedb pypdf pandas openai phidata
    ```
  </Step>

  <Step title="Run LanceDB Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/integrations/lancedb/agent.py
      ```

      ```bash Windows theme={null}
      python cookbook/integrations/lancedb/agent.py
      ```
    </CodeGroup>
  </Step>
</Steps>

## Information

* View on [Github](https://github.com/agno-agi/phidata/tree/main/cookbook/integrations/lancedb/agent.py)