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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>
15 lines
346 B
Python
15 lines
346 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.create_collection(
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collection_name="books",
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sparse_vectors_config={
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"title-bm25": models.SparseVectorParams(modifier=models.Modifier.IDF)
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},
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)
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