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)
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Set your API key
export PERPLEXITY_API_KEY=xxx
Install libraries
pip install -U agno openai sqlalchemy pgvector pypdf
Run Agent
python cookbook/models/perplexity/knowledge.py