docs/examples/talk-to-a-pdf.md

This example demonstrates how to vectorize a PDF of the Attention Is All You Need paper and setup a Swarms agent with rules and the KnowledgeBase tool to use it during conversations.

import io
import requests
from swarms.engines import VectorQueryEngine
from swarms.loaders import PdfLoader
from swarms.structures import Agent
from swarms.tools import KnowledgeBaseClient
from swarms.utils import Chat

namespace = "attention"

response = requests.get("https://arxiv.org/pdf/1706.03762.pdf")
engine = VectorQueryEngine()

engine.vector_store_driver.upsert_text_artifacts(
    {
        namespace: PdfLoader().load(
            io.BytesIO(response.content)
        )
    }
)

kb_client = KnowledgeBaseClient(
    description="Contains information about the Attention Is All You Need paper. "
                "Use it to answer any related questions.",
    query_engine=engine,
    namespace=namespace
)

agent = Agent(
    tools=[kb_client]
)

Chat(agent).start()