Knowledge Tools

uv pip install agno fastembed openai qdrant-client
docker run -d --name qdrant -p 6333:6333 qdrant/qdrant:latest

export OPENAI_API_KEY=***

from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIChat
from agno.tools.knowledge import KnowledgeTools
from agno.vectordb.qdrant import Qdrant
from agno.vectordb.search import SearchType

knowledge = Knowledge(
    vector_db=Qdrant(
        collection="knowledge_tools_demo",
        url="http://localhost:6333",
        search_type=SearchType.hybrid,
        embedder=OpenAIEmbedder(id="text-embedding-3-small"),
    ),
)
knowledge.insert(url="https://docs.agno.com/llms-full.txt")

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

agent.print_response("How do I build a team of agents in Agno?", stream=True)