​
Code

10_remove_vectors.py
import asyncio
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

# Create Knowledge Instance
knowledge = Knowledge(
    name="Basic SDK Knowledge Base",
    description="Agno 2.0 Knowledge Implementation",
    vector_db=PgVector(
        table_name="vectors", db_url="postgresql+psycopg://ai:ai@localhost:5532/ai"
    ),
)

asyncio.run(
    knowledge.add_content_async(
        name="CV",
        path="cookbook/knowledge/testing_resources/cv_1.pdf",
        metadata={"user_tag": "Engineering Candidates"},
    )
)


knowledge.remove_vectors_by_metadata({"user_tag": "Engineering Candidates"})

# Add from local file to the knowledge base
asyncio.run(
    knowledge.add_content_async(
        name="CV",
        path="cookbook/knowledge/testing_resources/cv_1.pdf",
        metadata={"user_tag": "Engineering Candidates"},
    )
)

knowledge.remove_vectors_by_name("CV")

​
Usage

1

Install libraries

pip install -U agno sqlalchemy psycopg pgvector
2

Run PgVector

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql/data/pgdata \
  -v pgvolume:/var/lib/postgresql/data \
  -p 5532:5432 \
  --name pgvector \
  agno/pgvector:16
3

Run the example

python cookbook/knowledge/basic_operations/10_remove_vectors.py