Code
cookbook/08_knowledge/vector_db/lance_db/lance_db.py
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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
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uv venv --python 3.12
source .venv/bin/activate
2
Install dependencies
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uv pip install -U lancedb pypdf openai agno
3
Set environment variables
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export OPENAI_API_KEY=xxx
4
Run Agent
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python cookbook/08_knowledge/vector_db/lance_db/lance_db.py