1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
|
// This file is autogenerated, DO NOT EDIT
// search/search-your-data/search-application-api.asciidoc:391
[source, python]
----
resp = client.search_application.put(
name="my-search-app",
search_application={
"indices": [
"index1"
],
"template": {
"script": {
"lang": "mustache",
"source": "\n {\n \"retriever\": {\n \"rrf\": {\n \"retrievers\": [\n {{#text_fields}}\n {\n \"standard\": {\n \"query\": {\n \"match\": {\n \"{{.}}\": \"{{query_string}}\"\n }\n }\n }\n },\n {{/text_fields}}\n {{#elser_fields}}\n {\n \"standard\": {\n \"query\": {\n \"sparse_vector\": {\n \"field\": \"ml.inference.{{.}}_expanded.predicted_value\",\n \"inference_id\": \"<elser_inference_id>\",\n \"query\": \"{{query_string}}\"\n }\n }\n }\n },\n {{/elser_fields}}\n ],\n \"rank_window_size\": {{rrf.rank_window_size}},\n \"rank_constant\": {{rrf.rank_constant}}\n }\n }\n }\n ",
"params": {
"elser_fields": [
"title",
"meta_description"
],
"text_fields": [
"title",
"meta_description"
],
"query_string": "",
"rrf": {
"rank_window_size": 100,
"rank_constant": 60
}
}
}
}
},
)
print(resp)
----
|
