gramdex

K-gram indexing for approximate string matching.

Quickstart

[dependencies]
gramdex = "0.1.1"

use gramdex::{GramDex, trigram_jaccard};

let mut ix = GramDex::new();
ix.add_document_trigrams(1, "hello");
ix.add_document_trigrams(2, "yellow");

let candidates = ix.candidates_union_trigrams("mellow");
let mut verified: Vec<u32> = candidates
    .into_iter()
    .filter(|&doc| match doc {
        1 => trigram_jaccard("mellow", "hello") >= 0.2,
        2 => trigram_jaccard("mellow", "yellow") >= 0.2,
        _ => false,
    })
    .collect();
verified.sort_unstable();
assert_eq!(verified, vec![2]);

Best starting points

• Gram generation: char_kgrams / char_trigrams
• Candidate index: GramDex (union candidates, scored candidates, bailout planning)
• Verification: trigram_jaccard

Example

cargo run --example candidate_verify_rank

Expected output:

query: "nearest neighbor"
doc 3: shared=13, jaccard=0.394, text="nearest neighbour spelling variant"
doc 0: shared=14, jaccard=0.341, text="vector quantization for nearest neighbor search"

Design notes

• This crate focuses on candidate generation; you bring your own verification policy.
• Offsets/spans are naturally expressed in Unicode scalar values (char count), not bytes.

License

Licensed under either of:

• Apache License, Version 2.0 (LICENSE-APACHE)
• MIT license (LICENSE-MIT)

at your option.