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, ...

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

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 ...

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

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 ...

Legal, insurance, and claim management sectors are often criticized for holding tight to outdated processes.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, ...