> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Cassandra Agent Knowledge

## Setup

Install cassandra packages

```shell theme={null}
pip install cassandra-driver
```

Run cassandra

```shell theme={null}
docker run -d \
--name cassandra-db\
-p 9042:9042 \
cassandra:latest
```

## Example

```python agent_with_knowledge.py theme={null}
from agno.agent import Agent
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.vectordb.cassandra import Cassandra

from agno.embedder.mistral import MistralEmbedder
from agno.models.mistral import MistralChat

# (Optional) Set up your Cassandra DB

cluster = Cluster()

session = cluster.connect()
session.execute(
    """
    CREATE KEYSPACE IF NOT EXISTS testkeyspace
    WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : 1 }
    """
)

knowledge_base = PDFUrlKnowledgeBase(
    urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
    vector_db=Cassandra(table_name="recipes", keyspace="testkeyspace", session=session, embedder=MistralEmbedder()),
)


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

agent = Agent(
    model=MistralChat(provider="mistral-large-latest", api_key=os.getenv("MISTRAL_API_KEY")),
    knowledge=knowledge_base,
    show_tool_calls=True,
)

agent.print_response(
    "What are the health benefits of Khao Niew Dam Piek Maphrao Awn?", markdown=True, show_full_reasoning=True
)
```

<Card title="Async Support ⚡">
  <div className="mt-2">
    <p>
      Cassandra also supports asynchronous operations, enabling concurrency and leading to better performance.
    </p>

    ```python async_cassandra.py theme={null}
    import asyncio

    from agno.agent import Agent
    from agno.embedder.mistral import MistralEmbedder
    from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
    from agno.models.mistral import MistralChat
    from agno.vectordb.cassandra import Cassandra

    try:
        from cassandra.cluster import Cluster  # type: ignore
    except (ImportError, ModuleNotFoundError):
        raise ImportError(
            "Could not import cassandra-driver python package.Please install it with pip install cassandra-driver."
        )

    cluster = Cluster()

    session = cluster.connect()
    session.execute(
        """
        CREATE KEYSPACE IF NOT EXISTS testkeyspace
        WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : 1 }
        """
    )

    knowledge_base = PDFUrlKnowledgeBase(
        urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
        vector_db=Cassandra(
            table_name="recipes",
            keyspace="testkeyspace",
            session=session,
            embedder=MistralEmbedder(),
        ),
    )

    agent = Agent(
        model=MistralChat(),
        knowledge=knowledge_base,
        show_tool_calls=True,
    )

    if __name__ == "__main__":
        # Comment out after first run
        asyncio.run(knowledge_base.aload(recreate=False))

        # Create and use the agent
        asyncio.run(
            agent.aprint_response(
                "What are the health benefits of Khao Niew Dam Piek Maphrao Awn?",
                markdown=True,
            )
        )
    ```

    <Tip className="mt-4">
      Use <code>aload()</code> and <code>aprint\_response()</code> methods with <code>asyncio.run()</code> for non-blocking operations in high-throughput applications.
    </Tip>
  </div>
</Card>

## Developer Resources

* View [Cookbook (Sync)](https://github.com/agno-agi/agno/blob/main/cookbook/agent_concepts/knowledge/vector_dbs/cassandra_db/cassandra_db.py)
* View [Cookbook (Async)](https://github.com/agno-agi/agno/blob/main/cookbook/agent_concepts/knowledge/vector_dbs/cassandra_db/async_cassandra_db.py)