Entrepreneurship Roundtable: Libe Data and Linq 소개 (2/13 6:00 PM PT)
Brain Network, Entrepreneurship Roundtable: Monthly on 2nd Tuesdays, SNUAA Forums
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- 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.
- 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.
서울대학교 미주동창회 Seoul National University Alumni Association in the USA
