🔍 Vector Similarity Explorer AI-Powered

See how vector databases measure "similarity" between text. This tool uses a real neural network (Universal Sentence Encoder) to convert your sentences into vectors and calculate their semantic similarity.

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Cosine Similarity Score
0.00
2D Vector Space Projection
Dimension 1 Dimension 2
Sentence A
Sentence B
Reference topics
📊 Actual Vector Embeddings (512 dimensions, showing first 8)
Sentence A: [0.000, 0.000, 0.000, ...]
Sentence B: [0.000, 0.000, 0.000, ...]

💡 How This Works

Your sentences are converted into 512-dimensional vectors by Google's Universal Sentence Encoder, a neural network trained on billions of text examples. The cosine similarity measures the angle between these vectors in high-dimensional space. Sentences with similar meanings point in similar directions, regardless of the specific words used.

Try These Examples:
Powered by TensorFlow.js Universal Sentence Encoder. All processing happens locally in your browser—no data is sent to any server.