Cassandra Agent Knowledge

pip install cassandra-driver

docker run -d \
--name cassandra-db\
-p 9042:9042 \
cassandra:latest

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
)