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from agno.agent import Agent
from agno.db.postgres.postgres import PostgresDb
from agno.knowledge.content import ContentAuth
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

# Create a knowledge base with simplified password handling
knowledge = Knowledge(
    vector_db=PgVector(
        table_name="pdf_documents_password",
        db_url=db_url,
    ),
    contents_db=PostgresDb(db_url=db_url),
)

knowledge.insert(
    url="https://agno-public.s3.us-east-1.amazonaws.com/recipes/ThaiRecipes_protected.pdf",
    auth=ContentAuth(password="ThaiRecipes"),
)


# Create an agent with the knowledge
agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
)

agent.print_response("Give me the recipe for pad thai")

​
Run the Example

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

# 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 pdf_reader_url_password.py