Code

cookbook/models/perplexity/knowledge.py
from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.perplexity import Perplexity
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=OpenAIEmbedder(),
    ),
)
# Add content to the knowledge
knowledge.add_content(
    url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
)

agent = Agent(model=Perplexity(id="sonar-pro"), knowledge=knowledge)
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.
python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export PERPLEXITY_API_KEY=xxx
3

Install libraries

pip install -U agno openai sqlalchemy pgvector pypdf
4

Run Agent

python cookbook/models/perplexity/knowledge.py