mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-09 04:48:30 +02:00
801 B
801 B
use qdrant_client::{
Payload, Qdrant, QdrantError,
qdrant::{Document, PointStruct, UpsertPointsBuilder},
};
use std::collections::HashMap;
let client = Qdrant::from_url("<your-qdrant-url>").build()?;
let mut options = HashMap::new();
options.insert("openai-api-key".to_string(), "<YOUR_OPENAI_API_KEY>".into());
options.insert("dimensions".to_string(), 512.into());
client
.upsert_points(UpsertPointsBuilder::new("<your-collection>",
vec![
PointStruct::new(1,
Document {
text: "Recipe for baking chocolate chip cookies".into(),
model: "openai/text-embedding-3-large".into(),
options,
},
Payload::default())
]).wait(true))
.await?;