Qdrant Async

Code

1import asyncio
2
3from kern.agent import Agent
4from kern.knowledge.knowledge import Knowledge
5from kern.vectordb.qdrant import Qdrant
6
7COLLECTION_NAME = "thai-recipes"
8
9vector_db = Qdrant(collection=COLLECTION_NAME, url="http://localhost:6333")
10
11knowledge = Knowledge(
12 vector_db=vector_db,
13)
14
15agent = Agent(knowledge=knowledge)
16
17if __name__ == "__main__":
18 asyncio.run(
19 knowledge.ainsert(
20 url="https://kern-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
21 )
22 )
23
24 asyncio.run(agent.aprint_response("How to make Tom Kha Gai", markdown=True))

Usage

Set up your virtual environment

1uv venv --python 3.12
2source .venv/bin/activate
1uv venv --python 3.12
2.venv\Scripts\activate

Install dependencies

1uv pip install -U qdrant-client pypdf openai kern-ai

Run Qdrant

1docker run -d --name qdrant -p 6333:6333 qdrant/qdrant:latest

Run Agent

1python cookbook/08_knowledge/vector_db/qdrant_db/async_qdrant_db.py