Files
landing_page/qdrant-landing/content/documentation/headless/snippets/cloud-inference/image/csharp.cs
T
Abdon PijpelinkandClaude Sonnet 4.6 478b96554f Restructure inference docs (#2225)
* Break Inference page into several pages

* Make all inference code snippets testable and clean up

* Make more snippets testable

* Edits

* Document automatic query and passage prefix injection in Cloud Inference

Qdrant Cloud Inference silently applies model-specific prefixes (e.g.
"query: "/"passage: " for E5, BGE-style instruction prefix for BGE/mxbai/
Snowflake arctic-embed) so users don't need to manage them manually.
Add a section explaining this behavior, the idempotency guarantee, and
the scope (Qdrant-hosted models only; external providers handle their own).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Document short query optimization in Cloud Inference

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Update links

* Expand on external provider API key usage

* Add section about external provider API keys

* Default to header for external API keys

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 08:11:03 +02:00

47 lines
978 B
C#

using Qdrant.Client;
using Qdrant.Client.Grpc;
using Value = Qdrant.Client.Grpc.Value;
public class Snippet
{
public static async Task Run()
{
// @hide-start
var client = new QdrantClient(
host: "xyz-example.qdrant.io",
port: 6334,
https: true,
apiKey: "<paste-your-api-key-here>"
);
// @hide-end
await client.UpsertAsync(
collectionName: "<your-collection>",
points: new List <PointStruct> {
new() {
Id = 1,
Vectors = new Image() {
Image_ = "https://qdrant.tech/example.png",
Model = "qdrant/clip-vit-b-32-vision",
},
Payload = {
["title"] = "Example Image"
},
},
}
);
var points = await client.QueryAsync(
collectionName: "<your-collection>",
query: new Document() {
Text = "Mission to Mars",
Model = "qdrant/clip-vit-b-32-text"
}
);
foreach(var point in points) {
Console.WriteLine(point);
}
}
}