Latent Space Explorer

PROJECT_ABSTRACT

Latent Space Explorer is a high-performance interactive visualizer built for ML engineers to inspect clustering behaviors in high-dimensional datasets. Implementing custom t-SNE and UMAP projection algorithms on top of WebGL shaders, it maps millions of document embeddings into interactive 3D structures in real time.

KEY_CAPABILITIES

• ▶Interactive 3D manifolds mapping 100,000+ vectors smoothly at 60 FPS.
• ▶Real-time semantic filtering via direct connection to Pinecone Vector DB.
• ▶Custom clustering labels calculated dynamically using cosine similarity.