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Add a comprehensive example demonstrating RuVector capabilities for bioacoustic analysis. The 7sense platform converts bird recordings into searchable embeddings using HNSW vector indexing and neural networks. Includes 8 modular crates with DDD architecture: - sevensense-core: Shared domain types and config - sevensense-audio: Audio processing and spectrograms - sevensense-embedding: ONNX-based neural embeddings - sevensense-vector: HNSW vector search (150x faster) - sevensense-analysis: Clustering and pattern detection - sevensense-learning: GNN-based continuous learning - sevensense-interpretation: Evidence pack generation - sevensense-api: REST/GraphQL/WebSocket API Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
15 lines
325 B
TOML
15 lines
325 B
TOML
[package]
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name = "performance-report"
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version = "0.1.0"
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edition = "2021"
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description = "Performance report generator for 7sense benchmarks"
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publish = false
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[[bin]]
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name = "performance-report"
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path = "performance_report.rs"
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[dependencies]
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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chrono = "0.4"
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