"""
Include And Exclude Files
=========================
Demonstrates include and exclude filters when loading directory content into knowledge.
"""
import asyncio
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
vector_db = PgVector(
table_name="vectors", db_url="postgresql+psycopg://ai:ai@localhost:5532/ai"
)
# ---------------------------------------------------------------------------
# Create Knowledge Base
# ---------------------------------------------------------------------------
def create_knowledge() -> Knowledge:
return Knowledge(
name="Basic SDK Knowledge Base",
description="Agno 2.0 Knowledge Implementation",
vector_db=vector_db,
)
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
def create_agent(knowledge: Knowledge) -> Agent:
return Agent(
name="My Agent",
description="Agno 2.0 Agent Implementation",
knowledge=knowledge,
search_knowledge=True,
debug_mode=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
def run_sync() -> None:
knowledge = create_knowledge()
knowledge.insert(
name="CV",
path="cookbook/07_knowledge/testing_resources",
metadata={"user_tag": "Engineering Candidates"},
include=["*.pdf"],
exclude=["*cv_5*"],
)
agent = create_agent(knowledge)
agent.print_response(
"Who is the best candidate for the role of a software engineer?",
markdown=True,
)
agent.print_response(
"Do you think Alex Rivera is a good candidate?",
markdown=True,
)
async def run_async() -> None:
knowledge = create_knowledge()
await knowledge.ainsert(
name="CV",
path="cookbook/07_knowledge/testing_resources",
metadata={"user_tag": "Engineering Candidates"},
include=["*.pdf"],
exclude=["*cv_5*"],
)
agent = create_agent(knowledge)
agent.print_response(
"Who is the best candidate for the role of a software engineer?",
markdown=True,
)
agent.print_response(
"Do you think Alex Rivera is a good candidate?",
markdown=True,
)
if __name__ == "__main__":
run_sync()
asyncio.run(run_async())