implement conversions for inference objects

[generall]

Query with image

use qdrant_client::qdrant::{Image, Query, QueryPointsBuilder};
use qdrant_client::Qdrant;

let client = Qdrant::from_url("http://localhost:6334").build()?;

let query_image = Image::new_from_url(
    "https://picsum.photos/200/300.jpg",
    "Qdrant/clip-ViT-B-32-vision"
);

let query_request = QueryPointsBuilder::new("{collection_name}")
    .query(Query::new_nearest(query_image));

// ANN search with server-side inference
client.query(query_request).await?;

Upsert vector from Image

use qdrant_client::qdrant::{PointStruct, UpsertPointsBuilder, Image};
use qdrant_client::{Qdrant, Payload};
use serde_json::json;

let client = Qdrant::from_url("http://localhost:6334").build()?;

let image = Image::new_from_url("https://picsum.photos/200/300.jpg", "Qdrant/clip-ViT-B-32-vision");

client
    .upsert_points(
        UpsertPointsBuilder::new(
            "{collection_name}",
            vec![
                PointStruct::new(
                    1,
                    image,
                    Payload::try_from(json!(
                        {"color": "red"}
                    ))
                    .unwrap(),
                )
            ],
        )
        .wait(true),
    )
    .await?;

[timvisee]

These are basically exactly the same.

Is there any way we want to differentiate them other than the name?

• Maybe validate URL or base64: prefix
• Or explicitly specify the type