Code
async_clickhouse.py
import asyncio
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.clickhouse import Clickhouse
agent = Agent(
knowledge=Knowledge(
vector_db=Clickhouse(
table_name="recipe_documents",
host="localhost",
port=8123,
username="ai",
password="ai",
),
),
search_knowledge=True,
read_chat_history=True,
)
async def main():
await agent.knowledge.ainsert(
url="https://docs.agno.com/agents/overview.md"
)
await agent.aprint_response(
"What is the purpose of an Agno Agent?",
markdown=True,
)
if __name__ == "__main__":
asyncio.run(main())
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 "clickhouse-connect[async]<1.0" pypdf openai agno
3
Run ClickHouse
docker run -d \
-e CLICKHOUSE_DB=ai \
-e CLICKHOUSE_USER=ai \
-e CLICKHOUSE_PASSWORD=ai \
-e CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT=1 \
-v clickhouse_data:/var/lib/clickhouse/ \
-v clickhouse_log:/var/log/clickhouse-server/ \
-p 8123:8123 \
-p 9000:9000 \
--ulimit nofile=262144:262144 \
--name clickhouse-server \
clickhouse/clickhouse-server
4
Set environment variables
export OPENAI_API_KEY=xxx
5
Run Agent
python async_clickhouse.py