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Visual Lab
Vector Embedding Visualizer
Unstructured documents are converted into dense lists of numbers (embeddings) which define positions in geometric space. Type a prompt and watch how AI matches your search using Euclidean distance math.
Under the Hood: Dimensionality Reduction
Real AI models map text into high-dimensional semantic spaces (e.g. 1536 coordinates!). To explain this to auditors and board members, we use mathematical algorithms (like PCA or t-SNE) to flatten those values onto a simple 2D coordinate grid. Close proximity means closely matching meaning.