Code
cookbook/08_knowledge/vector_db/milvus_db/milvus_db.py
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import asyncio
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.milvus import Milvus
vector_db = Milvus(
collection="recipes",
uri="tmp/milvus.db",
)
knowledge = Knowledge(
name="My Milvus Knowledge Base",
description="This is a knowledge base that uses a Milvus DB",
vector_db=vector_db,
)
asyncio.run(
knowledge.ainsert(
name="Recipes",
url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
metadata={"doc_type": "recipe_book"},
)
)
agent = Agent(knowledge=knowledge)
agent.print_response("How to make Tom Kha Gai", markdown=True)
vector_db.delete_by_name("Recipes")
vector_db.delete_by_metadata({"doc_type": "recipe_book"})
Usage
1
Set up your virtual environment
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uv venv --python 3.12
source .venv/bin/activate
2
Install dependencies
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uv pip install -U pymilvus pypdf openai agno
3
Run Agent
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python cookbook/08_knowledge/vector_db/milvus_db/milvus_db.py