Code
cookbook/models/anthropic/knowledge.py
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from agno.agent import Agent
from agno.knowledge.embedder.azure_openai import AzureOpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.anthropic import Claude
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
knowledge = Knowledge(
vector_db=PgVector(
table_name="recipes",
db_url=db_url,
embedder=AzureOpenAIEmbedder(),
),
)
# Add content to the knowledge
knowledge.add_content(
url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
)
agent = Agent(
model=Claude(id="claude-sonnet-4-20250514"),
knowledge=knowledge,
debug_mode=True,
)
agent.print_response("How to make Thai curry?", markdown=True)
Usage
1
Create a virtual environment
Open the
Terminal
and create a python virtual environment.Copy
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python3 -m venv .venv
source .venv/bin/activate
2
Set your API keys
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export ANTHROPIC_API_KEY=xxx
export OPENAI_API_KEY=xxx
3
Install libraries
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pip install -U anthropic sqlalchemy pgvector pypdf openai agno
4
Run PgVector
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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 \
agnohq/pgvector:16
5
Run Agent
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python cookbook/models/anthropic/knowledge.py