Milvus Async Hybrid Search

Run Milvus hybrid search asynchronously with ainsert() and aprint_response().

Code

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_hybrid.db", search_type=SearchType.hybrid
)

knowledge = Knowledge(
    vector_db=vector_db,
)

agent = Agent(knowledge=knowledge)

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

    asyncio.run(agent.aprint_response("How to make Tom Kha Gai", markdown=True))

Usage

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
2. Install dependencies

   uv pip install -U pymilvus pypdf openai agno
   
3. Set environment variables

   export OPENAI_API_KEY=xxx
   
4. Run Agent

   python async_milvus_db_hybrid_search.py