sketchir 0.3.2

Sketching primitives for IR: minhash/simhash/LSH-style signatures.
Documentation

sketchir

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Sketching primitives for IR: MinHash, SimHash, and LSH indexes for near-duplicate detection and approximate similarity search.

[dependencies]
sketchir = "0.3"

Best starting points

  • Near-duplicate detection: MinHashTextLSH + BlockingConfig
  • SimHash fingerprints: SimHashFingerprint / SimHashLSH
  • Dense-vector LSH (batch): LSHIndex -- multi-table random projection, add/build/search lifecycle
  • Dense-vector LSH (incremental): DenseSimHashLSH -- SimHash + Hamming-1 probing, no build step

Tuning knobs (BlockingConfig)

Param Typical Tradeoff
ngram_size 3-9 chars Smaller = more sensitive to noise; Larger = stricter.
num_bands * num_hashes_per_band 100-256 More = better Jaccard estimation, higher storage.
num_bands 20-50 Controls recall/precision curve (S-curve).

Example (MinHash blocking)

use sketchir::{BlockingConfig, MinHashTextLSH};

let cfg = BlockingConfig::default();
let mut index = MinHashTextLSH::new(cfg).unwrap();
index.insert_text("a", "hello world");
index.insert_text("b", "hello  world!");

let pairs = index.candidate_pairs();
assert!(!pairs.is_empty());

License

MIT OR Apache-2.0