​
Code

cookbook/reasoning/tools/knowledge_tools.py

from agno.agent import Agent
from agno.embedder.openai import OpenAIEmbedder
from agno.knowledge.url import UrlKnowledge
from agno.models.openai import OpenAIChat
from agno.tools.knowledge import KnowledgeTools
from agno.vectordb.lancedb import LanceDb, SearchType

# Create a knowledge base containing information from a URL
agno_docs = UrlKnowledge(
    urls=["https://docs.agno.com/llms-full.txt"],
    # Use LanceDB as the vector database and store embeddings in the `agno_docs` table
    vector_db=LanceDb(
        uri="tmp/lancedb",
        table_name="agno_docs",
        search_type=SearchType.hybrid,
        embedder=OpenAIEmbedder(id="text-embedding-3-small"),
    ),
)

knowledge_tools = KnowledgeTools(
    knowledge=agno_docs,
    think=True,
    search=True,
    analyze=True,
    add_few_shot=True,
)

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[knowledge_tools],
    show_tool_calls=True,
    markdown=True,
)

if __name__ == "__main__":
    # Load the knowledge base, comment after first run
    agno_docs.load(recreate=True)
    agent.print_response("How do I build multi-agent teams with Agno?", stream=True)

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export OPENAI_API_KEY=xxx
3

Install libraries

pip install -U openai lancedb tantivy sqlalchemy agno
4

Run Example

python cookbook/reasoning/tools/knowledge_tools.py