Knowledge Hub
The benefits of the semantic layer in organizing and abstracting enterprise data to facilitate decision-making and how businesses can leverage its capabilities.
Learn the fundamentals of GraphQL, its operational mechanics, and how it compares to other query language approaches.
Discover how event extraction transforms unstructured text into a structured description to understand what happened.
Discover how extractive question answering unlocks the doors to a new world where every question’s answer lies at your fingertips, not buried in paragraphs of text, but provided in a clear and concise way
Discover the transformative potential of Retrieval Augmented Generation (RAG), a method that enhances large language models (LLMs) with external knowledge for more accurate, contextual question answering.
Why is entity linking vital for Natural Language Processing and why does its synergy with knowledge graphs facilitate deeper understanding and processing of textual content
NLQ enables users to interact with complex databases using ordinary human language, eliminating the need for specialized query language skills.
Data Fabric is the new addition to the growing alphabet soup of new IT vocabulary terms. DIve into the what, why, when and how of data fabric
LLMs are deep learning models that learn patterns and relationships from large volumes of textual data. They can be used for generating new text, based on inputs, by predicting the most probable sequence of words to follow