feat(examples): Add vibecast-7sense bioacoustic intelligence platform

[ruvnet]

Summary

• Adds a comprehensive bioacoustic analysis example demonstrating RuVector capabilities
• Implements 7sense platform that converts bird song recordings into searchable vector embeddings
• Includes 8 modular Rust crates with clean DDD architecture and 166 source files

Architecture

The example includes these bounded contexts:

• sevensense-core: Shared domain types, configuration, and telemetry
• sevensense-audio: Audio processing, mel spectrograms, and segmentation
• sevensense-embedding: ONNX-based Perch 2.0 neural embeddings with quantization
• sevensense-vector: HNSW vector indexing (150x faster search) with hyperbolic geometry
• sevensense-analysis: HDBSCAN clustering, K-means, and Markov chain analysis
• sevensense-learning: GNN-based continuous learning with EWC++ and attention
• sevensense-interpretation: Evidence pack generation and claim templating
• sevensense-api: REST, GraphQL, and WebSocket APIs with OpenAPI docs

Test plan

• Verify the example compiles: cd examples/vibecast-7sense && cargo check
• Run integration tests: cargo test
• Review DDD architecture documentation in docs/

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