mirror of
https://github.com/qdrant/landing_page.git
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Abdon PijpelinkandClaude Sonnet 4.6
478b96554f
* 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>
28 lines
808 B
Rust
28 lines
808 B
Rust
use qdrant_client::{
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Qdrant,
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qdrant::{Document, Query, QueryPointsBuilder, Value},
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};
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use std::collections::HashMap;
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pub async fn main() -> anyhow::Result<()> {
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let client = Qdrant::from_url("<your-qdrant-url>").build().unwrap(); // @hide
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let mut options = HashMap::<String, Value>::new();
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options.insert("dimensions".to_string(), 512.into());
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client
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.with_header("openai-api-key", "<YOUR_OPENAI_API_KEY>")
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.query(
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QueryPointsBuilder::new("{collection_name}")
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.query(Query::new_nearest(Document {
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text: "How to bake cookies?".into(),
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model: "openai/text-embedding-3-large".into(),
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options,
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}))
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.build(),
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)
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.await?;
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Ok(())
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}
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