Natural Language Processing with Mindbreeze Insight Services
The Natural Language Processing Insight Service is available out of the box with every Mindbreeze deployment. Mindbreeze includes built-in methods for deep learning to capture the author or end-users meaning when they search for a particular subject or input a query. Natural language processing (NLP), natural language understanding (NLU), and natural language question-answering (NLQA) are the techniques that make this possible. These methods are used symmetrically to both analyze data as it is indexed and analyze user queries.
Natural language processing techniques enable Mindbreeze to surface insights across multiple languages, not from keywords but from natural, human language.
The Natural Language Processing Service ensures the processing of natural language and thus the understanding of content and company knowledge.
These methods are the foundation for many customers' uses with the Mindbreeze InSpire appliance. In addition to querying and receiving relevant answers, popular uses include:
Please stay tuned, as we will be taking a deeper dive into the Natural Language Processing Insight Service.
Want more information about our other Insight Services? Visit our Insight Services Page to have a look.
Latest Blogs
How AI Helps People and Businesses Find Answers More Quickly
The way we search for information is undergoing a profound transformation happening faster than anyone expected.
What Makes a Good RAG Solution? How Mindbreeze Sets the Gold Standard for Enterprise AI
If you’ve read an article or a newsletter in the AI community, you’ve probably heard of the phrase Retrieval-Augmented Generation, also known as RAG. RAG has emerged as a transformative technology, blending the power of language models with relevant, real-time information retrieval.