About Vector Vis

Bridging the gap between natural language processing and visual understanding through interactive 3D embeddings

The Project

Vector Vis is an interactive visualization tool that transforms words into their high-dimensional vector representations and plots them in an explorable 3D environment. Using pre-trained NLP models like GloVe and Word2Vec, each word becomes a point in semantic space.

The visualization reveals the hidden relationships between words—similar concepts cluster together, while semantically distant words spread apart. This spatial arrangement mirrors how neural networks understand and process human language.

Built with cutting-edge web technologies including React Three Fiber, WebGL, and advanced animation libraries, Vector Vis makes complex NLP concepts accessible through intuitive interaction.

Interactive 3D Visualization

Explore word embeddings in real-time with smooth camera controls, dynamic animations, and responsive design.

Advanced Animations

Spring physics, smooth transitions, and delightful micro-interactions create an engaging user experience.

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Project Built by Blake Almon

Passionate about the intersection of artificial intelligence, data visualization, and user experience. Dedicated to making complex AI concepts accessible through beautiful, interactive interfaces.

Built With

Next.jsReact Three FiberThree.jsFramer MotionTypeScriptTailwind CSS