mirror of
https://github.com/ruvnet/RuView
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rUv
f756a8af49
* feat(ruvector): real float HNSW + SymphonyQG-style quantized-traversal index (ADR-261) Adds the graph-ANN index the ruvector retrieval path was missing (ADR-156 §5 #1 noted there was no HNSW baseline to measure SymphonyQG against). - hnsw.rs: correct float HNSW (Malkov & Yashunin) — multi-layer NSW graph, ef_construction/ef_search, Algorithm-4 neighbour selection, seeded- deterministic level assignment (SplitMix64, reused from rotation.rs), L2 + cosine, brute-force ground truth, full degenerate-case guards. recall@10 correctness gate >=0.95 vs brute force (L2 + cosine). - hnsw_quantized.rs: SymphonyQG-style variant — same graph, traversal scored by cheap 1-bit Hamming over the RaBitQ Pass-2 rotated sign code, final exact-float rerank. - ann_measure.rs: shared deterministic planted-cluster fixture + recall/QPS measurement (ann_bench_report is the ADR source of truth). Fixes an index-out-of-bounds bug the recall gate caught: insert wired bidirectional edges before pushing the node's own link row. +20 tests, ruvector lib 131->151, 0 failed. Co-Authored-By: claude-flow <ruv@ruv.net> * bench(ruvector): criterion ann_bench for HNSW vs quantized vs linear (ADR-261) Times the same shared ann_measure fixture/indices through criterion so the bench and the report test can never measure different graphs. Co-Authored-By: claude-flow <ruv@ruv.net> * docs(adr-261): graph-ANN index ADR with MEASURED HNSW vs quantized verdict ADR-261 (Accepted): float HNSW ~25x QPS over linear scan at recall >=0.99 (the baseline ADR-156 said was missing). Honest negative: the 1-bit quantized traversal is too coarse to beat float HNSW at equal recall at N=10k (best recall 0.738, no >=0.90 equal-recall point) — the SymphonyQG 3.5-17x is NOT reproduced by our 1-bit construction; expected crossover at large N + a multi-bit code. Caveat: our HNSW + our quant, not SymphonyQG's system — direction tested, not a 1:1 reproduction. ADR-156 §5 #1 + §8 backlog: CLAIMED -> MEASURED-direction-tested. CHANGELOG [Unreleased] entry. Co-Authored-By: claude-flow <ruv@ruv.net>
54 lines
1.4 KiB
TOML
54 lines
1.4 KiB
TOML
[package]
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name = "wifi-densepose-ruvector"
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version = "0.3.2"
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edition.workspace = true
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authors.workspace = true
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license.workspace = true
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description = "RuVector v2.0.4 integration layer — ADR-017 signal processing and MAT ruvector integrations"
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repository.workspace = true
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keywords = ["wifi", "csi", "ruvector", "signal-processing", "disaster-detection"]
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categories = ["science", "computer-vision"]
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readme = "README.md"
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[features]
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default = []
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crv = ["dep:ruvector-crv", "dep:ruvector-gnn", "dep:serde", "dep:serde_json"]
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[dependencies]
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ruvector-core = { workspace = true }
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ruvector-mincut = { workspace = true }
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ruvector-attn-mincut = { workspace = true }
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ruvector-temporal-tensor = { workspace = true }
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ruvector-solver = { workspace = true }
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ruvector-attention = { workspace = true }
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ruvector-crv = { workspace = true, optional = true }
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ruvector-gnn = { workspace = true, optional = true }
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thiserror = { workspace = true }
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serde = { workspace = true, optional = true }
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serde_json = { workspace = true, optional = true }
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# ADR-084 Pass 5 — privacy-preserving event log uses SHA-256 to
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# anchor each stored sketch as a content-addressable witness hash.
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sha2 = { workspace = true }
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[dev-dependencies]
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approx = "0.5"
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criterion = { workspace = true }
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[[bench]]
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name = "crv_bench"
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harness = false
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required-features = ["crv"]
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[[bench]]
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name = "sketch_bench"
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harness = false
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[[bench]]
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name = "fusion_bench"
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harness = false
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[[bench]]
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name = "ann_bench"
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harness = false
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