​
Code

cookbook/knowledge/vector_db/milvus_db/async_milvus_db_hybrid_search.py
import asyncio
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.milvus import Milvus, SearchType

vector_db = Milvus(
    collection="recipes", uri="tmp/milvus.db", search_type=SearchType.hybrid
)

knowledge = Knowledge(
    vector_db=vector_db,
)

asyncio.run(knowledge.add_content_async(
    url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
))

agent = Agent(knowledge=knowledge)
if __name__ == "__main__":
    asyncio.run(agent.aprint_response("How to make Tom Kha Gai", markdown=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

Install libraries

pip install -U pymilvus pypdf openai agno
3

Run Agent

python cookbook/knowledge/vector_db/milvus_db/async_milvus_db_hybrid_search.py