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, ...

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

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 ...

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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 ...