To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

The world of finance produces vast amounts of data, yet many types – such as text, audio, and image data – have historically been underutilized in financial modeling. Traditionally, stock prices are ...

What if the AI systems we rely on today, those massive, resource-hungry large language models (LLMs)—were on the brink of being completely outclassed? Better Stack walks through how Meta’s VL-JEPA, a ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

LLMs tell you the truth, sometimes. Source: Art: DALL-E/OpenAI Large Language Models (LLMs) have revolutionized how we interact with machines, captivating users with their ability to generate coherent ...

Enterprises are racing to embed large language models (LLMs) into critical workflows ranging from contract review to customer support. But most organizations remain wedded to perimeter-based security ...