Qdrant

Vectors are fundamental entities used to represent quantities that have both direction and magnitude. Whether you’re working in machine learning, physics, or computer graphics, vectors have a crucial role. However, the raw magnitude of a vector is not always useful in certain computations. This is where vector normalization comes into play. Vector normalization is a process that scales a vector so that it has a unit length of 1 but retains its direction. This operation is particularly useful in various applications, including machine learning, physics simulations, and computer graphics. ...

Qdrant vector DB supports updating multiple points using batch_update_points(). Batch update points can take in multiple different operations as parameters and run them as a single API operation. batch_update_points() supports 4 kinds of update operations. UpsertOperation DeleteOperation UpdateVectorsOperation DeleteVectorsOperation SetPayloadOperation OverwritePayload DeletePayloadOperation ClearPayloadOperation batch_update_points() supports mixing up different kinds of operations in one request. For example you could perform an UpsertOperation for point ids [1, 2, 3] along with a delete operation on point id [4, 5, 6]. ...