from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIChat
from agno.vectordb.lancedb import LanceDb, SearchType
knowledge = Knowledge(
name="My PG Vector Knowledge Base",
description="This is a knowledge base that uses a PG Vector DB",
vector_db=LanceDb(
table_name="vectors",
uri="tmp/lancedb",
search_type=SearchType.hybrid,
),
)
knowledge.add_content(
name="Recipes",
url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
metadata={"doc_type": "recipe_book"},
)
agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
knowledge=knowledge,
search_knowledge=True,
markdown=True,
)
agent.print_response(
"How do I make chicken and galangal in coconut milk soup", stream=True
)
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install libraries
pip install -U lancedb pypdf openai agno
Set environment variables
export OPENAI_API_KEY=xxx
Run Agent
python cookbook/knowledge/vector_db/lance_db/lance_db_hybrid_search.py