Ultimate 대량 데이터 처리 Solutions for Everyone

Discover all-in-one 대량 데이터 처리 tools that adapt to your needs. Reach new heights of productivity with ease.

대량 데이터 처리

  • A ChatGPT plugin that ingests web pages and PDFs for interactive Q&A and document search via AI.
    0
    0
    What is Knowledge Hunter?
    Knowledge Hunter acts as a knowledge assistant that transforms static online content and documents into interactive AI-driven datasets. By simply providing a URL or uploading PDF files, the plugin crawls and parses text, tables, images, and hierarchical structures. It builds semantic indexes on-the-fly, allowing ChatGPT to answer complex queries, highlight passages, and export insights. Users can ask follow-up questions, request bullet-point summaries, or deep-dive into specific sections with context retained. It supports batch processing of multiple sources, custom document tagging, and universal search capabilities. Seamlessly integrated into ChatGPT's interface, Knowledge Hunter enhances research, data analysis, and customer support by turning raw web pages and documents into a conversational knowledge base.
  • LangMem enhances AI capabilities by providing extensive memory management functions.
    0
    0
    What is LangMem?
    LangMem provides specialized memory management capabilities for AI agents, enabling them to retain and recall vast amounts of information. This tool allows users to add memories, modify existing information, and retrieve memories based on specific queries. By integrating memory into AI processes, LangMem enhances the contextual understanding and relevance of responses, making it invaluable for applications that require continuous learning and adaptation.
  • An AI agent that automates locating and extracting structured LinkedIn company profiles, delivering detailed insights and JSON outputs.
    0
    0
    What is AI-Agentic LinkedIn Company Profile Finder?
    AI-Agentic LinkedIn Company Profile Finder is an end-to-end automation solution harnessing AI-driven agents to locate, parse, and extract company profile data from LinkedIn. Upon providing a list of target company names or keywords, the system automatically searches LinkedIn, identifies the official company pages, and scrapes relevant information including industry classification, employee count, headquarters location, company size, and brief descriptions. Extracted data is validated against predefined schemas, cleaned, and formatted into JSON. Bulk operations allow parallel processing of multiple queries, while customizable scrapers adapt to LinkedIn page structure changes. This agentic approach reduces manual effort, accelerates competitive research, and ensures consistent, accurate company intelligence for sales, marketing, and analytics workflows.
Featured