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2497c368ed
* Python snippets * TS snippets * Rust snippets * Java snippets * C# snippets * Go snippets * Generate .md files * Hide client connection in Rust snippets * Switch to builder pattern for Rust snippets * Use Document::new instead of DocumentBuilder::new * docs: Updated Go snippets Signed-off-by: Anush008 <mail@anush.sh> * docs: Updated Java snippets Signed-off-by: Anush008 <anushshetty90@gmail.com> * docs: Updated C# snippets Signed-off-by: Anush008 <anushshetty90@gmail.com> * docs: Updated BM25 avg_len Java snippet Signed-off-by: Anush008 <anushshetty90@gmail.com> * chore: review and format rust snippets * chore: trigger pr update * chore: remove qdrant_storage folder * fix: remove tokio::main * chore: trigger pr update * Regenerate .md files * George's feedback: set bm25 params at ingest-time, change Python client init to use cloud inference explicitly, and mark bm25 options unavailable in FastEmbed --------- Signed-off-by: Anush008 <mail@anush.sh> Signed-off-by: Anush008 <anushshetty90@gmail.com> Co-authored-by: Anush008 <mail@anush.sh> Co-authored-by: Anush008 <anushshetty90@gmail.com> Co-authored-by: Daniel Boros <dancixx@gmail.com>
32 lines
803 B
Python
32 lines
803 B
Python
from qdrant_client import QdrantClient, models
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client = QdrantClient(
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url="https://xyz-example.qdrant.io:6333",
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api_key="<your-api-key>",
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cloud_inference=True,
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)
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client.query_points(
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collection_name="books",
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prefetch=[
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models.Prefetch(
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query=models.Document(
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text="9780553213515",
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model="sentence-transformers/all-minilm-l6-v2"
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),
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using="description-dense",
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score_threshold=0.5,
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),
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models.Prefetch(
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query=models.Document(
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text="9780553213515",
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model="Qdrant/bm25",
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),
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using="isbn-bm25",
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),
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],
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query=models.FusionQuery(fusion=models.Fusion.RRF),
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limit=10,
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with_payload=True,
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)
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