In this example, the vectors have two dimensions, and the entries represent [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...
A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time.
A Vector database is an innovative solution that has emerged to address the challenges posed by data representations in higher dimensions. In this blog, we’ll explore the concept, applications, benefits, and potential future of vector databases....
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...
Attackers monitor the computer or network, steal information, or use computing resources. One often overlooked attack vector is your third and fourth-party vendors and service providers. It doesn't matter how sophisticated your internal network security and information security policies are — if vendo...
[15] Jingcheng Wang, Xiaowei Wang, Charles Eckert, Arun Subramaniyan,Reetuparna Das, David Blaauw, and Dennis Sylvester. A 28-nm compute sram with bit-serial logic/arithmetic operations for programmable inmemory vector computing. IEEE Journal of Solid-State Circuits,55(1):76–86, 2020. ...
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...
In short, all machine learning is AI, but not all AI is machine learning. Key Takeaways Machine learning is a subset of AI. The four most common types of machine learning are supervised, unsupervised, semi-supervised, and reinforced. Popular types of machine learning algorithms include neural ...
There are many types of machine learning techniques or algorithms, includinglinear regression,logistic regression,decision trees,random forest,support vector machines(SVMs),k-nearest neighbor (KNN),clusteringand more. Each of these approaches is suited to different kinds of problems and data. ...
The source of the information in the RAG’s vector database can be identified. And because the data sources are known, incorrect information in the RAG can be corrected or deleted. Challenges of Retrieval-Augmented Generation Because RAG is a relatively new technology, first proposed in 2020, ...