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, ...

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Legal, insurance, and claim management sectors are often criticized for holding tight to outdated processes.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

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 ...

In Singapore, the process of collecting a passport or National Registration Identity Card (NRIC) has been significantly streamlined, now taking just about five minutes at the Immigration and ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

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 ...

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 ...