​
Code

cookbook/models/azure/openai/knowledge.py
from agno.agent import Agent
from agno.embedder.azure_openai import AzureOpenAIEmbedder
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.models.azure import AzureOpenAI
from agno.vectordb.pgvector import PgVector

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

knowledge_base = PDFUrlKnowledgeBase(
    urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
    vector_db=PgVector(
        table_name="recipes",
        db_url=db_url,
        embedder=AzureOpenAIEmbedder(),
    ),
)
knowledge_base.load(recreate=False)  # Comment out after first run

agent = Agent(
    model=AzureOpenAI(id="gpt-4o"),
    knowledge=knowledge_base,
    show_tool_calls=True,
    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.

2

Set your API key

export AZURE_OPENAI_API_KEY=xxx
export AZURE_OPENAI_ENDPOINT=xxx
export AZURE_DEPLOYMENT=xxx
3

Install libraries

pip install -U openai agno duckduckgo-search sqlalchemy pgvector pypdf
4

Run Agent

Basic StreamingAgent with Storage