"""
Remove Vectors
==============
Demonstrates removing vectors by metadata and by name using sync and async insert flows.
"""
import asyncio
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,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
def run_sync() -> None:
knowledge = create_knowledge()
knowledge.insert(
name="CV",
path="cookbook/07_knowledge/testing_resources/cv_1.pdf",
metadata={"user_tag": "Engineering Candidates"},
)
knowledge.remove_vectors_by_metadata({"user_tag": "Engineering Candidates"})
knowledge.insert(
name="CV",
path="cookbook/07_knowledge/testing_resources/cv_1.pdf",
metadata={"user_tag": "Engineering Candidates"},
)
knowledge.remove_vectors_by_name("CV")
async def run_async() -> None:
knowledge = create_knowledge()
await knowledge.ainsert(
name="CV",
path="cookbook/07_knowledge/testing_resources/cv_1.pdf",
metadata={"user_tag": "Engineering Candidates"},
)
knowledge.remove_vectors_by_metadata({"user_tag": "Engineering Candidates"})
await knowledge.ainsert(
name="CV",
path="cookbook/07_knowledge/testing_resources/cv_1.pdf",
metadata={"user_tag": "Engineering Candidates"},
)
knowledge.remove_vectors_by_name("CV")
if __name__ == "__main__":
run_sync()
asyncio.run(run_async())
