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## New Features - HNSW Integration: O(log n) similarity search replaces O(n²) brute force (10-50x speedup) - Similarity Cache: 2-3x speedup for repeated similarity queries - Batch ONNX Embeddings: Chunked processing with progress callbacks - Shared Utils Module: cosine_similarity, euclidean_distance, normalize_vector - Auto-connect by Embeddings: CoherenceEngine creates edges from vector similarity ## Performance Improvements - 8.8x faster batch vector insertion (parallel processing) - 10-50x faster similarity search (HNSW vs brute force) - 2.9x faster similarity computation (SIMD acceleration) - 2-3x faster repeated queries (similarity cache) ## Files Changed - coherence.rs: HNSW integration, new CoherenceConfig fields - optimized.rs: Similarity cache implementation - utils.rs: New shared utility functions - api_clients.rs: Batch embedding methods (embed_batch_chunked, embed_batch_with_progress) - README.md: Documented all new features and configuration options Published as ruvector-data-framework v0.3.0 on crates.io 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
128 lines
2.9 KiB
TOML
128 lines
2.9 KiB
TOML
[package]
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name = "ruvector-data-framework"
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version = "0.3.0"
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edition.workspace = true
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description = "Core discovery framework for RuVector dataset integrations - find hidden patterns in massive datasets using vector memory, graph structures, and dynamic min-cut algorithms"
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license.workspace = true
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repository.workspace = true
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readme = "../README.md"
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documentation = "https://docs.rs/ruvector-data-framework"
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authors = ["RuVector Team <team@ruvector.dev>"]
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keywords = ["vector-database", "discovery", "graph", "mincut", "coherence"]
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categories = ["science", "database", "data-structures"]
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[dependencies]
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# Async runtime
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tokio.workspace = true
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futures.workspace = true
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async-trait.workspace = true
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# Serialization
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serde.workspace = true
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serde_json.workspace = true
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# HTTP client for APIs
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reqwest.workspace = true
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# Time handling
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chrono.workspace = true
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# Logging and errors
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tracing.workspace = true
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tracing-subscriber = { version = "0.3", features = ["env-filter"] }
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thiserror.workspace = true
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# Data processing
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rayon = { workspace = true, optional = true }
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ndarray.workspace = true
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rand = "0.8"
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# URL encoding for API calls
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urlencoding = "2.1"
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# XML parsing for PubMed
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quick-xml = { version = "0.36", features = ["serialize"] }
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# Compression
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flate2 = "1.1"
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# MCP Server dependencies
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clap = { version = "4.5", features = ["derive"] }
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num_cpus = "1.16"
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warp = { version = "0.3", optional = true }
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# ONNX embeddings (optional - for semantic embeddings)
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ruvector-onnx-embeddings = { version = "0.1.0", optional = true }
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[dev-dependencies]
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tokio-test = "0.4"
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rand = "0.8"
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tempfile = "3.8"
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tracing-subscriber = "0.3"
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[[example]]
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name = "cross_domain_discovery"
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path = "examples/cross_domain_discovery.rs"
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[[example]]
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name = "optimized_benchmark"
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path = "examples/optimized_benchmark.rs"
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[[example]]
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name = "discovery_hunter"
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path = "examples/discovery_hunter.rs"
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[[example]]
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name = "api_client_demo"
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path = "examples/api_client_demo.rs"
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[[example]]
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name = "real_data_discovery"
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path = "examples/real_data_discovery.rs"
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[[example]]
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name = "multi_domain_discovery"
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path = "examples/multi_domain_discovery.rs"
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[[example]]
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name = "realtime_feeds"
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path = "examples/realtime_feeds.rs"
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[[example]]
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name = "medical_discovery"
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path = "examples/medical_discovery.rs"
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[[example]]
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name = "wiki_discovery"
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path = "examples/wiki_discovery.rs"
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[[example]]
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name = "arxiv_discovery"
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path = "examples/arxiv_discovery.rs"
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[[example]]
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name = "optimized_runner"
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path = "examples/optimized_runner.rs"
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[[example]]
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name = "news_social_demo"
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path = "examples/news_social_demo.rs"
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[[example]]
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name = "dynamic_mincut_benchmark"
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path = "examples/dynamic_mincut_benchmark.rs"
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[[bin]]
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name = "discover"
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path = "src/bin/discover.rs"
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[[bin]]
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name = "mcp_discovery"
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path = "src/bin/mcp_discovery.rs"
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[features]
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default = ["async", "parallel"]
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async = []
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parallel = ["rayon"]
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sse = ["warp"]
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onnx-embeddings = ["dep:ruvector-onnx-embeddings"]
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