Atlas Vector Search and its role in AI applications

In 2023, MongoDB introduced a public preview of its new product, Atlas Vector Search. Built on the MongoDB Atlas developer data platform, this innovative feature is designed to power intelligent applications with semantic search and generative AI capabilities over any type of data.

What does vector search entail?

Vector search is a technique that enables semantic search, which involves querying data based on its inherent meaning. This method utilizes machine learning models, often referred to as encoders, to convert various forms of data—such as text, audio, and images—into high-dimensional vectors. These vectors encapsulate the semantic essence of the data, which can then be sifted through to identify similar content based on the proximity of vectors in a high-dimensional space. Vectorized search can therefore effectively supplement traditional keyword-based search methods. It's also gaining significant attention...