A vector database is a type of database that stores data as vector embeddings, which are high-dimensional mathematical vectors that represent data (such as text, audio, images, and videos) in numerical values. Vector databases are becoming increasingly popular for their ability to efficiently handle similarity searches across thousands of columns, which can be challenging for traditional SQL databases. They can also arrange embeddings into clusters that are similar to each other, allowing AI algorithms to more easily process and understand the data.
Recently, I’ve been exploring how to leverage intelligent agents to streamline the discovery and organization of real-world AI use cases from across the web. This experimentation led me to develop AIUseCaseHub.com, a platform that employs a sophisticated multi-agent backend powered by Azure AI Foundry for finding and scraping cases online. In this article, I’d like … Read more
Welcome to the dawn of a new era in digital interaction! With the advent of Generative AI, we’re witnessing a remarkable revolution that’s changing the very nature of how we interact with software and digital services. This change is monumental. Leading the charge are the latest generation of AI-powered virtual assistants, aka “AI copilots”. Unlike … Read more
Artificial Intelligence (AI), in particular, the advent of OpenAI’s ChatGPT, has revolutionized how we interact with technology. Chatbots powered by this advanced language model can engage users in intricate, natural language conversations, marking a significant shift in AI capabilities. However, one thing that ChatGPT isn’t designed for is integrating personalized or proprietary knowledge – it’s … Read more
