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Add filters in examples of vector functions (#45327)

This commit is contained in:
Mayya Sharipova 2019-08-08 09:38:05 -04:00
parent 86d6597890
commit f0f2294695
1 changed files with 76 additions and 22 deletions
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98
docs/reference/vectors/vector-functions.asciidoc
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@ -29,6 +29,9 @@ PUT my_index
},
"my_sparse_vector" : {
"type" : "sparse_vector"
},
"status" : {
"type" : "keyword"
}
}
}
@ -37,13 +40,15 @@ PUT my_index
PUT my_index/_doc/1
{
"my_dense_vector": [0.5, 10, 6],
"my_sparse_vector": {"2": 1.5, "15" : 2, "50": -1.1, "4545": 1.1}
"my_sparse_vector": {"2": 1.5, "15" : 2, "50": -1.1, "4545": 1.1},
"status" : "published"
}
PUT my_index/_doc/2
{
"my_dense_vector": [-0.5, 10, 10],
"my_sparse_vector": {"2": 2.5, "10" : 1.3, "55": -2.3, "113": 1.6}
"my_sparse_vector": {"2": 2.5, "10" : 1.3, "55": -2.3, "113": 1.6},
"status" : "published"
}
--------------------------------------------------
@ -59,13 +64,19 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published" <1>
}
}
}
},
"script": {
"source": "cosineSimilarity(params.query_vector, doc['my_dense_vector']) + 1.0", <1>
"source": "cosineSimilarity(params.query_vector, doc['my_dense_vector']) + 1.0", <2>
"params": {
"query_vector": [4, 3.4, -0.2] <2>
"query_vector": [4, 3.4, -0.2] <3>
}
}
}
@ -73,8 +84,9 @@ GET my_index/_search
}
--------------------------------------------------
// CONSOLE
<1> The script adds 1.0 to the cosine similarity to prevent the score from being negative.
<2> To take advantage of the script optimizations, provide a query vector as a script parameter.
<1> To restrict the number of documents on which script score calculation is applied, provide a filter.
<2> The script adds 1.0 to the cosine similarity to prevent the score from being negative.
<3> To take advantage of the script optimizations, provide a query vector as a script parameter.
NOTE: If a document's dense vector field has a number of dimensions
different from the query's vector, an error will be thrown.
@ -88,8 +100,14 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published"
}
}
}
},
"script": {
"source": "cosineSimilaritySparse(params.query_vector, doc['my_sparse_vector']) + 1.0",
@ -112,8 +130,14 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published"
}
}
}
},
"script": {
"source": """
@ -141,8 +165,14 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published"
}
}
}
},
"script": {
"source": """
@ -169,8 +199,14 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published"
}
}
}
},
"script": {
"source": "1 / (1 + l1norm(params.queryVector, doc['my_dense_vector']))", <1>
@ -202,8 +238,14 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published"
}
}
}
},
"script": {
"source": "1 / (1 + l1normSparse(params.queryVector, doc['my_sparse_vector']))",
@ -227,8 +269,14 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published"
}
}
}
},
"script": {
"source": "1 / (1 + l2norm(params.queryVector, doc['my_dense_vector']))",
@ -251,8 +299,14 @@ GET my_index/_search
{
"query": {
"script_score": {
"query": {
"match_all": {}
"query" : {
"bool" : {
"filter" : {
"term" : {
"status" : "published"
}
}
}
},
"script": {
"source": "1 / (1 + l2normSparse(params.queryVector, doc['my_sparse_vector']))",