As enterprises rush to deploy RAG systems, attack surfaces are evolving rapidly, and security professionals are rightfully racing to keep up. Vector and embedding weaknesses aren’t theoretical risks; ...

Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

A complete pipeline for downloading, processing, and creating vector embeddings from documentation. This project allows you to create searchable semantic embeddings from web content and visualize them ...

The examples use image embeddings (vector representations) created with CLIP (Contrastive Language-Image Pre-training) and visualize them using UMAP to reveal clusters of similar images.

The design involves three primary roles: To visualize this, imagine the AI assistant as a laptop ... often embedding the text into vectors and storing them in a vector index or database. This is ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or ...