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Code

cookbook/knowledge/vector_db/lance_db/lance_db.py
import asyncio

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.lancedb import LanceDb

vector_db = LanceDb(
    table_name="vectors",
    uri="tmp/lancedb",
)

knowledge = Knowledge(
    name="Basic SDK Knowledge Base",
    description="Agno 2.0 Knowledge Implementation with LanceDB",
    vector_db=vector_db,
)

agent = Agent(knowledge=knowledge)

if __name__ == "__main__":
    asyncio.run(
        knowledge.add_content_async(
            name="Recipes",
            url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
            metadata={"doc_type": "recipe_book"},
        )
    )

    asyncio.run(
        agent.aprint_response("List down the ingredients to make Massaman Gai", markdown=True)
    )

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U lancedb pypdf openai agno
3

Run Agent

python cookbook/knowledge/vector_db/lance_db/lance_db.py