> ## Documentation Index
> Fetch the complete documentation index at: https://docs.phidata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# PineconeDB

<CodeGroup>
  ```python agent.py theme={null}
  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-index"

  vector_db = PineconeDB(
  name=index_name,
  dimension=1536,
  metric="cosine",
  spec={"serverless": {"cloud": "aws", "region": "us-east-1"}},
  api_key=api_key,
  )

  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=False, upsert=True)

  def pinecone_agent(user: str = "user"):
  run_id: Optional[str] = None

      agent = Agent(
          run_id=run_id,
          user_id=user,
          knowledge_base=knowledge_base,
          use_tools=True,
          show_tool_calls=True,
          debug_mode=True,
          # Uncomment the following line to use traditional RAG
          # add_references_to_prompt=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)

  ```
</CodeGroup>

## PineconeDB Params

<Snippet file="vectordb_pineconedb_params.mdx" />