Operational Database Management Systems
Q1. Vector embeddings are becoming increasingly popular in natural language processing (NLP), computer vision, and other artificial intelligence (AI) applications. Why? Vector embeddings are the words and phrases that computers use to communicate. Unlike...
Q1. Despite their impressive capabilities, computers cannot easily understand text, images, audio, or other human-readable data formats. Why? Computers inherently operate on binary data, and their processing capabilities are rooted in numerical and logical...
Q1. What is Large Language Model Architecture? Large Language Model Architecture refers to the design and structure of models that specialize in understanding and generating text. The most prevalent architecture is Transformer-Based, which employs...
“It’s fairly common that organizations are using a data fabric pattern without calling it by that name. For example, Health Information Exchanges (HIEs) use the data fabric pattern, but they were conceived before the...
Q1: What is a Vector Database? A Vector Database is a specialized form of database that arranges data based on content similarity rather than just keywords. This is a game-changer for businesses that deal...
Discover how our new vector database boosts Natural Language Processing and Generative AI search applications with relevancy at scale. KDB.AI is a powerful knowledge-based vector database and search engine that allows developers to build...
Q1. SingleStore Now will take place on October 17, 2023 at the Chase Center in San Francisco. What is the focus of this year’s conference? Q2. Why choose Generative artificial intelligence as one of the main...
” I don’t think any other industry faces the same challenges regarding the criticality and complexity of data. In no other sector is data quality so critical – it can be the difference between...
“ Pretty soon, we’re going to expect our AI systems to have real time awareness and be knowledgeable about what happened a millisecond ago, not a month or a year ago.” You have been recently...
Q1. The ability to use real-time data to make business decisions is critical in today’s world. What are the main practical challenges in implementing real-time analytics? Q2. What is most important, data volume or...