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research(nightly): hybrid-sparse-dense-fusion — coherence-adaptive BM25+vector search in Rust#507

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research(nightly): hybrid-sparse-dense-fusion — coherence-adaptive BM25+vector search in Rust#507
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@ruvnet ruvnet commented May 25, 2026

Nightly RuVector Research — 2026-05-25

Adds nightly research for hybrid sparse-dense fusion with coherence-adaptive per-query weighting.

What this adds

  1. crates/ruvector-hybrid-fusion — pure-Rust hybrid retrieval crate (zero external service deps):

    • Bm25Index: Okapi BM25, k1=1.2, b=0.75, Robertson-Sparck Jones IDF
    • DenseIndex: unit-normalised flat cosine scan
    • rrf_fuse: Reciprocal Rank Fusion (k=60), the standard baseline
    • linear_fuse: min-max normalised linear combination, α=0.5
    • coherence_fuse: per-query alpha from score concentration ratio (novel)
    • Deterministic corpus generator: 10 topics × 300 docs, D=128, TextDominant/VectorDominant split
    • 28 unit tests, 9 acceptance tests — all pass
  2. docs/adr/ADR-194-hybrid-sparse-dense-fusion.md — full ADR

  3. docs/research/nightly/2026-05-25-hybrid-sparse-dense-fusion/README.md — research document

  4. docs/research/nightly/2026-05-25-hybrid-sparse-dense-fusion/gist.md — SEO-optimised public technical article

Real benchmark results (x86-64 Linux 6.18.5, rustc 1.94.1, release, seed=42)

Variant Recall@10 Mean µs QPS Memory
SparseOnly (BM25) 0.372 33.8 29,616 969 KB
DenseOnly (cosine) 0.500 458.8 2,180 1,500 KB
HybridRRF (k=60) 0.738 488.4 2,048 2,469 KB
HybridLinear (α=0.5) 0.644 493.5 2,026 2,469 KB
HybridCoherence (adaptive) 0.717 503.0 1,988 2,469 KB

Per-query-type coherence vs RRF:

  • Hybrid queries: Coherence 0.788 vs RRF 0.845 (−0.057)
  • KeywordHeavy: Coherence 0.784 vs RRF 0.742 (+0.042)
  • VectorHeavy: Coherence 0.508 vs RRF 0.520 (−0.012)

Hybrid retrieval achieves +98% relative recall gain over the best single leg (0.372 → 0.738).

Research loop passes completed: 3

Top alternatives rejected: Streaming HNSW delete-repair (0.657), PQ+ADC (0.647), ColBERT MaxSim (0.627)

Build status: PASS cargo build --release -p ruvector-hybrid-fusion

Test status: PASS cargo test -p ruvector-hybrid-fusion (28/28)

Acceptance: PASS cargo run --release -p ruvector-hybrid-fusion (9/9)

Research doc: docs/research/nightly/2026-05-25-hybrid-sparse-dense-fusion/README.md
ADR: docs/adr/ADR-194-hybrid-sparse-dense-fusion.md


Generated by Claude Code

claude added 3 commits May 25, 2026 07:35
Pass 1-3 SOTA research loop completed. Selected topic: Hybrid Sparse-Dense Fusion
with Coherence-Adaptive Weighting (DAT arXiv:2503.23013 principle in pure Rust).
Covers ADR-194, corpus generator, BM25+cosine legs, three fusion variants.
Pure-Rust hybrid BM25+cosine retrieval crate with three fusion strategies:
- rrf_fuse: Reciprocal Rank Fusion (k=60), standard baseline
- linear_fuse: min-max normalised, fixed alpha=0.5
- coherence_fuse: per-query alpha from score concentration ratio

Corpus: 10 topics x 300 docs, D=128, TextDominant/VectorDominant split.
All 28 unit tests pass. 9/9 acceptance tests pass.
Hardware: x86-64 Linux 6.18.5, rustc 1.94.1, release profile, seed=42
N=3000 docs, D=128, K=10, 200 queries

SparseOnly recall=0.372, DenseOnly recall=0.500
HybridRRF recall=0.738, HybridCoherence recall=0.717
Coherence wins KwHeavy: +4.2 pp over RRF (0.784 vs 0.742)
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