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3ffdb0a9a3
* fix all eof * fix test * fix test * fix test * typo * fix sample * fix sample * add logs * fix page_dynamic_result.txt
100 lines
2.7 KiB
JSON
100 lines
2.7 KiB
JSON
{
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"chart_type": "LineChart",
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"title": "Retriever Speed",
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"subtitle": "Query Speed at different number of docs",
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"description": "Here you can see how the query speed of different Retriever / DocumentStore combinations scale as the number of documents increases. The set up is the same as the above querying benchmark except that a varying number of negative documents are used to fill the document store.",
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"columns": [
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"n_docs",
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"BM25 / ElasticSearch",
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"DPR / ElasticSearch",
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"DPR / FAISS (flat)",
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"DPR / FAISS (HSNW)"
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],
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"axis": [
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{ "x": "Number of docs", "y": "Docs/sec" }
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],
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"data":
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[
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{
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"model": "DPR / ElasticSearch",
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"n_docs": 1000,
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"query_speed": 40.802
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},
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{
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"model": "DPR / ElasticSearch",
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"n_docs": 10000,
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"query_speed": 27.006999999999998
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},
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{
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"model": "DPR / ElasticSearch",
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"n_docs": 100000,
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"query_speed": 6.5360000000000005
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},
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{
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"model": "DPR / ElasticSearch",
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"n_docs": 500000,
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"query_speed": 1.514
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},
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{
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"model": "DPR / FAISS (flat)",
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"n_docs": 1000,
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"query_speed": 40.048
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},
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{
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"model": "DPR / FAISS (flat)",
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"n_docs": 10000,
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"query_speed": 23.976999999999997
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},
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{
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"model": "DPR / FAISS (flat)",
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"n_docs": 100000,
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"query_speed": 5.044
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},
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{
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"model": "DPR / FAISS (flat)",
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"n_docs": 500000,
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"query_speed": 1.091
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},
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{
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"model": "BM25 / ElasticSearch",
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"n_docs": 1000,
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"query_speed": 232.97799999999998
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},
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{
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"model": "BM25 / ElasticSearch",
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"n_docs": 10000,
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"query_speed": 167.81
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},
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{
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"model": "BM25 / ElasticSearch",
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"n_docs": 100000,
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"query_speed": 162.996
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},
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{
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"model": "BM25 / ElasticSearch",
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"n_docs": 500000,
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"query_speed": 95.491
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},
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{
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"model": "DPR / FAISS (HSNW)",
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"n_docs": 1000,
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"query_speed": 37.884
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},
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{
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"model": "DPR / FAISS (HSNW)",
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"n_docs": 10000,
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"query_speed": 33.421
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},
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{
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"model": "DPR / FAISS (HSNW)",
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"n_docs": 100000,
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"query_speed": 12.815
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},
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{
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"model": "DPR / FAISS (HSNW)",
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"n_docs": 500000,
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"query_speed": 3.259
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}
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]
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}
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