haystack/docs/v0.5.0/_src/benchmarks/retriever_speed.json
2020-11-06 13:17:04 +01:00

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{
"chart_type": "LineChart",
"title": "Retriever Speed",
"subtitle": "Query Speed at different number of docs",
"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.",
"columns": [
"n_docs",
"BM25 / ElasticSearch",
"DPR / ElasticSearch",
"DPR / FAISS (flat)",
"DPR / FAISS (HSNW)"
],
"axis": [
{ "x": "Number of docs", "y": "Queries/sec" }
],
"data":
[
{
"model": "DPR / ElasticSearch",
"n_docs": 1000,
"query_speed": 40.802
},
{
"model": "DPR / ElasticSearch",
"n_docs": 10000,
"query_speed": 27.006999999999998
},
{
"model": "DPR / ElasticSearch",
"n_docs": 100000,
"query_speed": 6.5360000000000005
},
{
"model": "DPR / ElasticSearch",
"n_docs": 500000,
"query_speed": 1.514
},
{
"model": "DPR / FAISS (flat)",
"n_docs": 1000,
"query_speed": 40.048
},
{
"model": "DPR / FAISS (flat)",
"n_docs": 10000,
"query_speed": 23.976999999999997
},
{
"model": "DPR / FAISS (flat)",
"n_docs": 100000,
"query_speed": 5.044
},
{
"model": "DPR / FAISS (flat)",
"n_docs": 500000,
"query_speed": 1.091
},
{
"model": "BM25 / ElasticSearch",
"n_docs": 1000,
"query_speed": 232.97799999999998
},
{
"model": "BM25 / ElasticSearch",
"n_docs": 10000,
"query_speed": 167.81
},
{
"model": "BM25 / ElasticSearch",
"n_docs": 100000,
"query_speed": 162.996
},
{
"model": "BM25 / ElasticSearch",
"n_docs": 500000,
"query_speed": 95.491
},
{
"model": "DPR / FAISS (HSNW)",
"n_docs": 1000,
"query_speed": 37.884
},
{
"model": "DPR / FAISS (HSNW)",
"n_docs": 10000,
"query_speed": 33.421
},
{
"model": "DPR / FAISS (HSNW)",
"n_docs": 100000,
"query_speed": 12.815
},
{
"model": "DPR / FAISS (HSNW)",
"n_docs": 500000,
"query_speed": 3.259
}
]
}