A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time.
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Learn what a vector database is, how it works, and why MongoDB Atlas Vector Search plays a significant role in the generative AI discussion.
Once users store objects as vectors, they can store those vectors in avector database, which is purpose-built to provide efficient storage and retrieval of large datasets of vector embeddings. This ability means that vector search operations are usable at scale. The difference between traditional v...
Easy to duplicate.It is also easy to create clones of a vector image and copy certain features of one graphic to another. Precision.The ability to scale vector graphics up or down means they have a precise look and feel. Disadvantages ...
How does vector embedding work? A vector embedding transforms a data point, such as a word, sentence or image, into ann-dimensional array of numbers representing that data point’s characteristics—itsfeatures. This is achieved by training anembedding modelon a large data set relevant to the ta...
In this blog, we provide a comprehensive understanding of vector databases, including what they are, how they work, types, use cases, examples, and more.
General AI.This type of AI, which does not currently exist, is more often referred to as artificial general intelligence (AGI). If created, AGI would be capable of performing any intellectual task that a human being can. To do so, AGI would need the ability to apply reasoning across a ...
An attack vector is a mechanism or method the bad actor uses to illegally access or inhibit a network, system, or facility. Attack vectors are grouped into three categories: electronic social engineering, physical social engineering, and technical vulnerabilities (e.g., computer misconfigurations)....
They generate a single vector per word, based on its usage across texts. This means all the nuances of the word "right" are blended into one vector representation. That is not enough information for computers to fully understand the context. So, how do we help computers grasp the nuances ...