use qdrant_client::{ Qdrant, qdrant::{Document, Query, QueryPointsBuilder}, }; pub async fn main() -> anyhow::Result<()> { let client = Qdrant::from_url("").build().unwrap(); client .query( QueryPointsBuilder::new("{collection_name}") .query(Query::new_nearest(Document { text: "How to bake cookies?".into(), model: "qdrant/bm25".into(), ..Default::default() })) .using("my-bm25-vector") .build(), ) .await?; Ok(()) }