Online LLM-Powered Search

Perplexity AI

Approach: Real-time web search + LLM synthesis

Traditional RAG vs LLM-Powered Search

Building LLM-Powered Search

from langchain.tools import Tool
from langchain.utilities import GoogleSearchAPIWrapper
from langchain.agents import initialize_agent
from langchain.llms import OpenAI

# Setup search tool
search = GoogleSearchAPIWrapper()
search_tool = Tool(
    name="Google Search",
    description="Search Google for recent information",
    func=search.run
)

# Initialize agent with search capability
llm = OpenAI(temperature=0)
agent = initialize_agent(
    tools=[search_tool],
    llm=llm,
    agent="zero-shot-react-description",
    verbose=True
)

# Execute search query
result = agent.run(
    "What are the latest breakthroughs in quantum computing?"
)

import asyncio
from typing import List, Dict
import aiohttp
from bs4 import BeautifulSoup

class MultiSourceSearcher:
    def __init__(self, llm):
        self.llm = llm
        self.sources = {
            'news': 'https://api.news.example.com',
            'academic': 'https://api.arxiv.org',
            'social': 'https://api.reddit.com'
        }
    
    async def search_source(self, source: str, query: str) -> List[Dict]:
        """Search a specific source asynchronously"""
        # Implementation for each source API
        pass
    
    async def aggregate_search(self, query: str) -> Dict:
        """Search all sources in parallel"""
        tasks = [
            self.search_source(source, query) 
            for source in self.sources
        ]
        results = await asyncio.gather(*tasks)
        
        # Combine and rank results
        combined = self.merge_results(results)
        
        # Generate synthesis
        synthesis = await self.llm.agenerate(
            f"Synthesize these search results: {combined}"
        )
        
        return {
            'answer': synthesis,
            'sources': combined
        }

Emerging Trends in LLM Search

LLM-powered search represents a paradigm shift from information retrieval to knowledge synthesis. By combining the vast reach of web search with AI's ability to understand and explain, these tools are transforming how we access and consume information. As the technology matures, we can expect even more sophisticated integration of real-time data with AI reasoning capabilities.