Choosing the Right Data Infrastructure for AI: Vector vs Traditional Databases vs Hybrid
With the rise of AI (especially generative AI and retrieval-augmented generation), organizations are starting to face new data infrastructure challenges. At the core of many modern AI workloads are vector embeddings—high-dimensional numeric representations of text, images, audio, etc. These embeddings can deliver semantic meaning, facilitate a semantic similarity search, make recommendations, etc. Unfortunately, most databases […]