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"""
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())

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/07_knowledge/01_quickstart

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

# Optiona: Run PgVector (needs docker)
./cookbook/scripts/run_pgvector.sh

python 10_remove_vectors.py