// @block-start configure-bm25-shard
pub async fn main() -> anyhow::Result<()> {
    const SHARD_DIRECTORY: &str = "./qdrant-edge-bm25";
    fs_err::create_dir_all(SHARD_DIRECTORY)?; // @hide

    use std::path::*;
    use qdrant_edge::*;

    let config = EdgeConfigBuilder::new()
        .sparse_vector("text", EdgeSparseVectorParamsBuilder::new()
            .modifier(Modifier::Idf)
            .build())
        .build();

    let shard = EdgeShard::new(Path::new(SHARD_DIRECTORY), config)?;
    // @block-end configure-bm25-shard

    // @block-start create-bm25
    use qdrant_edge::bm25_embed::*;

    let bm25 = EdgeBm25::new(EdgeBm25Config {
        language: Some("english".to_string()),
        ..Default::default()
    })?;
    // @block-end create-bm25

    // @block-start embed-and-upsert
    use qdrant_edge::external::serde_json::json;
    use qdrant_edge::*;

    let docs = [
        (1u64, "the quick brown fox", "Article 1"),
        (2,    "a lazy dog sleeps",   "Article 2"),
        (3,    "foxes are clever",    "Article 3"),
    ];

    let points = docs.iter().map(|(id, text, title)| {
        PointStruct::new(
            *id,
            Vectors::new_named([("text", bm25.embed_document(text))]),
            json!({ "title": title }),
        ).into()
    }).collect();

    shard.update(UpdateOperation::PointOperation(
        PointOperations::UpsertPoints(PointInsertOperations::PointsList(points)),
    ))?;
    shard.optimize()?;
    // @block-end embed-and-upsert

    // @block-start query-with-bm25
    use qdrant_edge::*;

    let query_vector = bm25.embed_query("clever fox");

    let results = shard.query(
        QueryRequestBuilder::new(3)
            .query(ScoringQuery::Vector(QueryEnum::Nearest(NamedQuery {
                query: VectorInternal::from(query_vector),
                using: Some("text".to_string()),
            })))
            .with_payload(WithPayloadInterface::Bool(true))
            .build(),
    )?;
    // @block-end query-with-bm25

    Ok(())
}