Tensorus combines cutting-edge algorithms, AI-powered intelligence, and production-grade reliability to deliver the most advanced tensor database on the market.
Unlike vector databases that only handle 1D arrays, Tensorus natively supports tensors from 1D to 6D. Store images (2D), videos (3D), or complex scientific simulations (4D+) with mathematical precision.
# 1D Vector (traditional)
embedding_1d = [0.1, 0.2, 0.3, ...] # 768-dim
# 2D Image Features
image_2d = np.array([[...], [...]]) # 224x224
# 3D Video
video_3d = np.array([[[...]]]) # T×H×W
# 4D Multi-view
multiview_4d = np.array([[[[...]]]]) # N×T×H×W
# Store in Tensorus
client.insert({
"id": "video_001",
"tensor": video_3d,
"shape": [30, 224, 224], # 30 frames
"properties": {
"fps": 30,
"duration": 1.0
}
})The built-in AI Agent continuously monitors your queries, analyzes access patterns, and automatically optimizes performance—no manual tuning required.
Choose the right algorithm for your use case—or combine them for hybrid queries
Industry-standard approximate nearest neighbor search. Finds tensors with similar numerical content.
ML-optimized index for mathematical properties. Search by symmetry, rank, norms, eigenvalues.
Advanced tensor factorization. Finds tensors with similar structural patterns, ignoring absolute values.
Built with Rust for safety and speed. Battle-tested infrastructure patterns.
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