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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>
21 lines
556 B
Python
21 lines
556 B
Python
from qdrant_client import QdrantClient, models
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from qdrant_client.context_headers import headers
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client = QdrantClient(
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url="https://xyz-example.qdrant.io:6333",
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api_key="<your-qdrant-api-key>",
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cloud_inference=True
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)
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with headers({"jina-api-key": "<YOUR_JINAAI_API_KEY>"}):
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client.query_points(
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collection_name="{collection_name}",
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query=models.Document(
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text="Mission to Mars",
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model="jinaai/jina-clip-v2",
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options={
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"dimensions": 512
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}
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)
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)
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