Overview
Smart Search is designed to fundamentally change how you conduct online research. Unlike traditional search engines that leave you with a long list of links requiring hours of clicking, reading, and manual synthesis, this workflow automates the entire process. Leveraging the power of Large Language Models (LLMs), Smart Search takes your single query and returns a detailed, logically sound research report, aggregating and synthesizing information from up to 10 high-quality online sources. It’s your one-stop solution for getting a structured answer, not just a list of references.
Who This Is For
Smart Search is ideal for professionals and students who need to rapidly gather, process, and structure information from the web:
- Academic Researchers: Quickly perform an initial literature review, gain comprehensive background knowledge on a new subject, and accelerate the research starting process.
- Business Analysts & Strategists: Rapidly investigate competitors, analyze emerging industry trends, or explore new technologies by generating concise, information-rich research reports.
- Content Creators: Generate balanced and information-rich answers for complex topics that require gathering multiple perspectives before drafting content.
How It Works
- Intent Analysis
- The initial LLM node goes beyond the surface of your question, analyzing its deeper intent. It generates an expanded list of 10–20 related search keywords to ensure the subsequent search is both broad and detailed.
- Execute Search
- All generated keywords are used to perform a comprehensive Google search, fetching a massive pool of raw search results, including various webpage links and snippets.
- Process Web Links (Filtering & Deduping)
- The workflow filters the raw results, extracting only valid URLs suitable for analysis. It automatically discards unsuitable links (e.g., videos, PDFs, social media) and removes duplicates to guarantee source quality and diversity. This produces a clean list of up to 10 high-quality, crawlable webpages.
- Batch Web Scraping
- A dedicated node efficiently visits each filtered link, rapidly scraping the full text content from every page.
- Generate Search Results (Synthesis)
- Finally, the core LLM node synthesizes the user's original question with the massive, fragmented text scraped from multiple sources. It consolidates this information into a well-structured, detailed article, formatted neatly in Markdown.
What You'll Need
- A Question or Topic: The title or core idea that defines the article's focus.
How to Use
- Step 1.Start the Workflow
- In the input field of the Start Node, enter any question or topic you want to explore in depth.
- Example: "What is the most popular large model at present?"
- Step 2.Wait for Synthesis
- The workflow will automatically run through all five stages (Analysis, Search, Filtering, Scraping, and Synthesis).
- Step 3.Receive Report
- The final output will be a comprehensive, Markdown-formatted article answering your question with aggregated information.
