Skip to main content

​
Code

cookbook/08_knowledge/vector_db/lance_db/lance_db.py
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,
)

knowledge.insert(
        name="Recipes",
        url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
        metadata={"doc_type": "recipe_book"},
    )

agent = Agent(knowledge=knowledge)
agent.print_response("List down the ingredients to make Massaman Gai", markdown=True)

vector_db.delete_by_name("Recipes")
# or
vector_db.delete_by_metadata({"doc_type": "recipe_book"})

​
Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Install dependencies

uv pip install -U lancedb pypdf openai agno
3

Set environment variables

export OPENAI_API_KEY=xxx
4

Run Agent

python cookbook/08_knowledge/vector_db/lance_db/lance_db.py