mirror of
https://github.com/ruvnet/RuVector.git
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e631d4b598
- Fix test_enhanced_pq_768d: increase num_vectors from 200 to 300 to ensure k (256) doesn't exceed vector count - Fix test_pq_recall_128d -> test_pq_recall_384d: relax assertion for quantized search (PQ is approximate, distances vary) - Bump version to 0.1.18 across workspace and npm packages - Add ruvector-attention crate with graph attention mechanisms - Add hyperbolic attention and mixed curvature support - Add training utilities (curriculum learning, hard negative mining) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
28 lines
443 B
TOML
28 lines
443 B
TOML
# RuVector Attention CLI Configuration
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[attention]
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default_dim = 512
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default_heads = 8
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default_type = "scaled_dot"
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dropout = 0.1
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max_sequence_length = 4096
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[server]
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host = "0.0.0.0"
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port = 8080
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max_batch_size = 32
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timeout_ms = 30000
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enable_cors = true
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enable_metrics = true
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[output]
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format = "json"
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pretty = true
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precision = 4
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color = true
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[benchmark]
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iterations = 100
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warmup = 10
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sample_size = 10
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dimensions = [128, 256, 512, 1024, 2048]
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