Forrester Slices And Dices The Vector Database Market
datanami, Tuesday, May 14th, 2024
The large language model (LLM) revolution has transformed vector databases from obscure search tech into must-have products for AI success. But which vector database features should you look for, and which vendors are innovating? The analysts at Forrester recently dug into the field to provide answers in a new report.
Vector databases are designed to manage and process one particular data type called a vector embedding, which is a numerical representation of words, documents, images, or even sound. A vector database indexes and stores these embeddings in a multi-dimensional space that allows users or applications to retrieve these embeddings and others nearby that they resemble. This similarity search function is what enabled users to get much better search results than straightforward keyword-matching, and led to the creation of so-called 'AI search engines.'