CognitiveLab also introduced ColNetraEmbed, a multi-vector variant that offers token level explanations. NetraEmbed uses ...

Morgantown, W.Va.-based WVU Medicine is using generative AI to help retrieve information from large documents, Fairmont (W.Va.) News reported. Health system employees can plug documents like how-to ...

My basic problem is simple: thousands of word processor and applications generated documents being created each day, a legal requirement that at least some of these be kept accessible for sixty years, ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Legal, insurance, and claim management sectors are often criticized for holding tight to outdated processes. A notable area where this persists is with record retrieval. Law firms, in particular, ...

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...

Major corporations today dedicate millions to data lakes and data warehouses and data fabrics through advanced analytics systems that operate from on-premises and cloud environments. The process of ...

Data retrieval goes well beyond the scope of email and database systems to embrace all types of records. While databases contain structured data and email works with semistructured data, general data ...

The ability to search for documents by keywords and other attributes such as date and author. It implies that the documents have been indexed on all pertinent fields and that keywords have been chosen ...