Milvus Hybrid Search - Agno

Code

milvus_db_hybrid_search.py

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,
)

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

agent = Agent(knowledge=knowledge)
agent.print_response("How to make Tom Kha Gai", markdown=True)

Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

uv venv --python 3.12
.venv\Scripts\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 milvus_db_hybrid_search.py