There are typically four components to vector similarity search: vector embeddings that capture the key characteristics of the original object ... images, or both. Audio embeddings might be based ...

The query vector is then compared to all of the object vectors to find the nearest matches. In the same way, image or audio ... for unstructured data and yet provide some of the functionality ...

Vector database technology is core to scaling up AI deployments because it acts as data ... and image recognition where the relationship between concepts can be represented based on their meaning.