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Institutional knowledge, like an intricate library, requires innovative tools to enhance discovery and uncover the hidden gems within its vast repository. Understanding Knowledge Management Knowledge management is the process by which firms transform information and data they have amassed into actionable insights.
RAG grounds a large language model (LLM)— a type of AI program that can recognize and generate text, among other capabilities — in authoritative content by asking it only to reason over information retrieved from a specified set of data, rather than reproduce knowledge from its training dataset.
In today’s world of information overload, enterprise search helps organizations discover, organize, and manage their own knowledge. Below, we will cover the top use cases for enterprise search, from knowledge management to customer support and supply chain management, as well as some of its advantages and limitations.
Unfortunately, the sheer volume of data most organizations are dealing with, including their own internal content , makes knowledge management a herculean task. Furthermore, enterprise content is frequently siloed, making it difficult to leverage firmwide intellectualproperty. Enter: enterprise search engines.
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