import os
import typer
from typing import Optional
from rich.prompt import Prompt
from phi.agent import Agent
from phi.knowledge.pdf import PDFUrlKnowledgeBase
from phi.vectordb.pineconedb import PineconeDB
api_key = os.getenv("PINECONE_API_KEY")
index_name = "thai-recipe-hybrid-search"
vector_db = PineconeDB(
name=index_name,
dimension=1536,
metric="cosine",
spec={"serverless": {"cloud": "aws", "region": "us-east-1"}},
api_key=api_key,
use_hybrid_search=True,
hybrid_alpha=0.5,
)
knowledge_base = PDFUrlKnowledgeBase(
urls=["https://phi-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
vector_db=vector_db,
)
# Comment out after first run
knowledge_base.load(recreate=True, upsert=True)
def pinecone_agent(user: str = "user"):
run_id: Optional[str] = None
agent = Agent(
run_id=run_id,
user_id=user,
knowledge=knowledge_base,
show_tool_calls=True,
debug_mode=True,
)
if run_id is None:
run_id = agent.run_id
print(f"Started Run: {run_id}\n")
else:
print(f"Continuing Run: {run_id}\n")
while True:
message = Prompt.ask(f"[bold] :sunglasses: {user} [/bold]")
if message in ("exit", "bye"):
break
agent.print_response(message)
if __name__ == "__main__":
typer.run(pinecone_agent)
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv ~/.venvs/aienv
source ~/.venvs/aienv/bin/activate
Install libraries
pip install -U pinecone pypdf openai phidata
Run Pinecone Agent
python cookbook/integrations/pinecone/agent.py
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