Entrepreneurship Roundtable: Libe Data and Linq 소개 (2/13 6:00 PM PT)

ZOOM

Libe Data

  • Automated Invoice Processing
    Invoices from numerous sources vary widely in forms and shapes. Manual entry of these forms is time-consuming and error-prone. Using machine learning-based processing of invoices reduces human effort and eliminates errors.
  • Computerized Inventory Control
    Rigorous tracking and forecasting of inventory is possible with an up to date information on the product details – location, quantity, prices, etc. With computerized inventory control, retailers can track and manage all products in one place.
  • Accurate Accounts Payable
    Accuracy of invoice data is a basis of robust accounts payable system. With no human error in the invoice data, the accounts payable process is fully automated.

Linq

  • Introducing The Future Of Search: Multimodal Vector Search API
    Multimodal Retrieval Augmented Generation(RAG) can be fully equipped with Linq API, from extraction, embedding, and retrieval to re-ranking and generation
  • Searching data is challenging. I need a search engine that understands context.
    If focused on interpreting complex queries, you need precision and relevance in results
  • I want to search beyond text, including images and tables
    Most documents are not just text – they’re a combination of text, tables, images, graphics, and more.
  • Integrating company data into LLM apps is my goal
    It takes months of due diligence and integrations to connect company data into LLM applications properly.
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서울대학교 미주동창회