Disclaimer: This project and its author is not directly associated with Meilisearch and its team, although I am a fan.

A simple implementation using the core engine of Meilisearch, milli, to create an embedded search engine.

Uses the power of milli to create a basic, embedded search database. The only requirement is that your document implements the Serialize and Deserialize traits.

Note: Settings all settings are currently hard-coded, such as the results be 10.

Add this to your Cargo.toml manifest file's list of dependencies.

simple-milli = { git = "https://github.com/AceofSpades5757/simple-milli", tag = "v0.1.0", version = "0.1.0" }

This is a basic example.

use serde::{Deserialize, Serialize};
use simple_milli::Database;

#[derive(Serialize, Deserialize)]
struct Document {
    id: usize,
    name: String,
}

fn main() {
    let documents: Vec<Document> = vec![
        Document {
            id: 100,
            name: "Document 1".to_string(),
        },
        Document {
            id: 101,
            name: "Document 2".to_string(),
        },
        Document {
            id: 102,
            name: "Document 3".to_string(),
        },
    ];

    let mut database = Database::new();
    database.add_documents(documents).unwrap();

    let results: Vec<Document> = database.search("Doc").unwrap();
    for doc in results {
        println!("Result Name: {}", doc.name);
    }
}

• Meilisearch search engine
• GitHub - milli

As milli, and some of its dependencies are not yet available on crates.io, this crate cannot be published their either.