the vector is a directed line segment defined as (0,0), (7,7) using its numbered pairs. Vectors and scalars can be used in mathematical processes and vector operations, such as vector addition, vector subtraction and vector multiplication. ...
What is a vector? A vector is an array of numerical values that expresses the location of a floating point along several dimensions. In more everyday language, a vector is a list of numbers, like: {12, 13, 19, 8, 9}. These numbers indicate a location within a space, just as a ro...
Vector embeddings can be used in Retrieval Augmented Systems (RAG), search engines, and other applications. For that, a vector database is required to query high-dimensional data efficiently. These infrastructures require high engineering costs, maintenance, and technical expertise. In the following ...
A vector database is an advanced form of database specifically designed to handle vector embeddings, learn more here.
[clothing type, color]. The red shirt has a vector [1,1] and the blue pants would have a vector [-1,-1]. Now let’s look at the green skirt. A skirt is closer to a pair of pants in function and green is near to blue in the color spectrum, so its embedding vector is near...
Vector databases often deal with datasets that comprise billions of high-dimensional vectors. This data isn't just large in volume but also complex in nature, requiring more computing power and memory to process. Scalable systems can handle this increased complexity without performance degradation. Thi...
filters are largely controlled by IT security administrators and security tool vendors. The purpose is to prevent access to certain digital assets, resources or locations that could pose apotential cyber threatif reached. Filters are put in place to protect a user's computing hardware, software and...
In this blog, we provide a comprehensive understanding of vector databases, including what they are, how they work, types, use cases, examples, and more.
An attack vector is the method that a threat actor uses when trying to gain illegitimate access to an IT system and access sensitive information, usually by exploiting a vulnerability in a network, system, or application.
A convolutional neural network is trained on hundreds, thousands, or even millions of images. When working with large amounts of data and complex network architectures, GPUs can significantly speed the processing time to train a model. Deep Network Designer app for interactively building, visualizing...