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* 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>
47 lines
1.2 KiB
Rust
47 lines
1.2 KiB
Rust
use qdrant_client::{
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Payload, Qdrant,
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qdrant::{Document, PointStruct, Query, QueryPointsBuilder, UpsertPointsBuilder},
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};
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pub async fn main() -> anyhow::Result<()> {
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// @hide-start
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let client = Qdrant::from_url("https://xyz-example.qdrant.io:6334")
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.api_key("<paste-your-api-key-here>")
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.build()?;
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// @hide-end
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let points = vec![PointStruct::new(
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1,
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Document {
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text: "Recipe for baking chocolate chip cookies".into(),
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model: "<the-model-to-use>".into(),
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..Default::default()
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},
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Payload::try_from(serde_json::json!(
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{"topic": "cooking", "type": "dessert"}
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))?,
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)];
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client
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.upsert_points(UpsertPointsBuilder::new("<your-collection>", points).wait(true))
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.await?;
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let query_document = Document {
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text: "How to bake cookies?".into(),
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model: "<the-model-to-use>".into(),
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..Default::default()
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};
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let result = client
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.query(
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QueryPointsBuilder::new("<your-collection>")
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.query(Query::new_nearest(query_document))
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.build(),
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)
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.await?;
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println!("Result: {:?}", result);
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Ok(())
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}
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