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Content related to Exploring Vector Search: Advantages and Disadvantages

KM Fast Track to Search-Focused AI Solutions

In today’s rapidly evolving digital landscape, the ability to quickly locate and connect critical information is key to organizational success. As organizations struggle with ever-expanding datasets and information silos, the need for effective search-focused artificial intelligence (AI) solutions becomes vital. … Continue reading

5 Steps For Building Your Enterprise Semantic Recommendation Engine

In today’s digital landscape, where content overload is a constant challenge, recommendation engines (also known as personalized content recommenders, or just “recommenders”) have emerged as powerful solutions that help users cut through the noise and discover relevant information. These intelligent … Continue reading

How a Knowledge Graph Supports AI: Technical Considerations

In 2023, ChatGPT’s explosive popularity made Artificial Intelligence (AI) language models a household name. In essence, these models are a key component of natural language processing (NLP), a field of AI, focused on enabling computers to understand and generate human … Continue reading

Recommendation Engine Automatically Connecting Learning Content & Product Data

The EK Difference EK’s hallmark is rooted in the proficiency of advanced AI and knowledge graph technologies, as well as our profound commitment to client relationships. Working closely with the company’s content and data teams, EK displayed a robust understanding … Continue reading

What is A Data Fabric Architecture and What Are The Design Considerations?

Introduction In today’s data-driven world, effective data management is crucial for businesses to remain competitive. A modern approach to data management is the use of data fabric architecture. A data fabric is a data management solution that connects and manages … Continue reading