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Break out snippets into their own files
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Runs a hybrid search by prefetching dense and BM25 sparse queries for an ISBN and fusing results with Reciprocal Rank Fusion.
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```http
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POST /collections/books/points/query
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{
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"prefetch": [
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{
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"query": {
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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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{
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"query": {
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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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"with_payload": true
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}
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],
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"query": {
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"fusion": "rrf"
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},
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"limit": 10,
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"with_payload": true
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}
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```
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