✳flâneur — a map of the web's best reading

What Is a Vector Database? | IBM

ibm.com · 3,192 words · saved by 1 readers

A vector database is designed to store, manage and index massive quantities of high-dimensional vector data efficiently. Vector databases are rapidly growing in interest to create additional value for generative artificial intelligence (AI) use cases and applications. According to Gartner, by 2026, more than 30 percent of enterprises will have adopted vector databases to ground their foundation models with relevant business data.1 Unlike traditional relational databases with rows and columns, data points in a vector database are represented by vectors with a fixed number of dimensions, clustered based on similarity. This design enables low latency queries, making them ideal for AI-driven applications. Use this model selection framework to choose the most appropriate model while balancing your performance requirements with cost, risks and deployment needs. Use this model selection framework to choose the most appropriate model while balancing your performance requirements with cost, ris

What Is a Vector Database? | IBM Power the agentic enterprise Watch the Think Keynote What is a vector database? By Tom Krantz , Jim Holdsworth , Matthew Kosinski What is a vector database? A vector database stores, manages and indexes high-dimensional vector data. In a vector database, data points are stored as arrays of numbers called “vectors,” which can be compared and clustered based on similarity. This design enables low- latency queries, making it ideal for artificial intelligence (AI) applications. Vector databases are growing in popularity because they deliver the speed and performanc

Explore this link on the map →

related reading