import asyncio
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector
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"
),
)
# 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"},
skip_if_exists=True, # True by default
)
)
# Add from local file to the knowledge base, but don't skip if it already exists
asyncio.run(
knowledge.add_content_async(
name="CV",
path="cookbook/knowledge/testing_resources/cv_1.pdf",
metadata={"user_tag": "Engineering Candidates"},
skip_if_exists=False,
)
)
Install libraries
pip install -U agno sqlalchemy psycopg pgvector
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
Run the example
python cookbook/knowledge/basic_operations/11_skip_if_exists.py