Enables you to evaluate the quality of ranked search results over a set of typical search queries
Path parameters
-
Comma-separated list of data streams, indices, and index aliases used to limit the request. Wildcard (
*
) expressions are supported. To target all data streams and indices in a cluster, omit this parameter or use_all
or*
.
Query parameters
-
allow_no_indices boolean
If
false
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
expand_wildcards string | array[string]
Whether to expand wildcard expression to concrete indices that are open, closed or both.
-
ignore_unavailable boolean
If
true
, missing or closed indices are not included in the response. -
search_type string
Search operation type
Body Required
-
A set of typical search requests, together with their provided ratings.
Hide requests attributes Show requests attributes object
-
request object
Hide request attributes Show request attributes object
-
Hide query attributes Show query attributes object
-
bool object
Hide bool attributes Show bool attributes object
-
boosting object
Hide boosting attributes Show boosting attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Floating point number between 0 and 1.0 used to decrease the relevance scores of documents matching the
negative
query.
-
-
combined_fields object
Hide combined_fields attributes Show combined_fields attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
Text to search for in the provided
fields
. Thecombined_fields
query analyzes the provided text before performing a search. -
If true, match phrase queries are automatically created for multi-term synonyms.
-
operator string
Values are
or
orand
. -
zero_terms_query string
Values are
none
orall
.
-
-
constant_score object
Hide constant_score attributes Show constant_score attributes object
-
dis_max object
Hide dis_max attributes Show dis_max attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
One or more query clauses. Returned documents must match one or more of these queries. If a document matches multiple queries, Elasticsearch uses the highest relevance score.
-
tie_breaker number
Floating point number between 0 and 1.0 used to increase the relevance scores of documents matching multiple query clauses.
-
-
exists object
Hide exists attributes Show exists attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
function_score object
Hide function_score attributes Show function_score attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
boost_mode string
Values are
multiply
,replace
,sum
,avg
,max
, ormin
. -
functions array[object]
One or more functions that compute a new score for each document returned by the query.
-
max_boost number
Restricts the new score to not exceed the provided limit.
-
min_score number
Excludes documents that do not meet the provided score threshold.
-
query object
-
score_mode string
Values are
multiply
,sum
,avg
,first
,max
, ormin
.
-
-
fuzzy object
Returns documents that contain terms similar to the search term, as measured by a Levenshtein edit distance.
-
geo_bounding_box object
Hide geo_bounding_box attributes Show geo_bounding_box attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
type string
Values are
memory
orindexed
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
geo_distance object
Hide geo_distance attributes Show geo_distance attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
distance_type string
Values are
arc
orplane
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
geo_polygon object
Hide geo_polygon attributes Show geo_polygon attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
-
-
geo_shape object
Hide geo_shape attributes Show geo_shape attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
has_child object
Hide has_child attributes Show has_child attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
inner_hits object
-
max_children number
Maximum number of child documents that match the query allowed for a returned parent document. If the parent document exceeds this limit, it is excluded from the search results.
-
min_children number
Minimum number of child documents that match the query required to match the query for a returned parent document. If the parent document does not meet this limit, it is excluded from the search results.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
has_parent object
Hide has_parent attributes Show has_parent attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
parent_type
and not return any documents instead of an error. You can use this parameter to query multiple indices that may not contain theparent_type
. -
inner_hits object
-
score boolean
Indicates whether the relevance score of a matching parent document is aggregated into its child documents.
-
-
ids object
Hide ids attributes Show ids attributes object
-
intervals object
Returns documents based on the order and proximity of matching terms.
-
knn object
Hide knn attributes Show knn attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
query_vector array[number]
-
query_vector_builder object
-
num_candidates number
The number of nearest neighbor candidates to consider per shard
-
k number
The final number of nearest neighbors to return as top hits
-
similarity number
The minimum similarity for a vector to be considered a match
-
-
match object
Returns documents that match a provided text, number, date or boolean value. The provided text is analyzed before matching.
-
match_all object
Hide match_all attributes Show match_all attributes object
-
match_bool_prefix object
Analyzes its input and constructs a
bool
query from the terms. Each term except the last is used in aterm
query. The last term is used in a prefix query. -
match_none object
Hide match_none attributes Show match_none attributes object
-
match_phrase object
Analyzes the text and creates a phrase query out of the analyzed text.
-
match_phrase_prefix object
Returns documents that contain the words of a provided text, in the same order as provided. The last term of the provided text is treated as a prefix, matching any words that begin with that term.
-
more_like_this object
Hide more_like_this attributes Show more_like_this attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
The analyzer that is used to analyze the free form text. Defaults to the analyzer associated with the first field in fields.
-
boost_terms number
Each term in the formed query could be further boosted by their tf-idf score. This sets the boost factor to use when using this feature. Defaults to deactivated (0).
-
fail_on_unsupported_field boolean
Controls whether the query should fail (throw an exception) if any of the specified fields are not of the supported types (
text
orkeyword
). -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
include boolean
Specifies whether the input documents should also be included in the search results returned.
-
max_doc_freq number
The maximum document frequency above which the terms are ignored from the input document.
-
max_query_terms number
The maximum number of query terms that can be selected.
-
max_word_length number
The maximum word length above which the terms are ignored. Defaults to unbounded (
0
). -
min_doc_freq number
The minimum document frequency below which the terms are ignored from the input document.
-
min_term_freq number
The minimum term frequency below which the terms are ignored from the input document.
-
min_word_length number
The minimum word length below which the terms are ignored.
-
routing string
-
version number
-
version_type string
Values are
internal
,external
,external_gte
, orforce
.
-
-
multi_match object
Hide multi_match attributes Show multi_match attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert the text in the query value into tokens.
-
If
true
, match phrase queries are automatically created for multi-term synonyms. -
fields string | array[string]
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). Can be applied to the term subqueries constructed for all terms but the final term. -
lenient boolean
If
true
, format-based errors, such as providing a text query value for a numeric field, are ignored. -
max_expansions number
Maximum number of terms to which the query will expand.
-
operator string
Values are
and
,AND
,or
, orOR
. -
prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
Text, number, boolean value or date you wish to find in the provided field.
-
slop number
Maximum number of positions allowed between matching tokens.
-
tie_breaker number
Determines how scores for each per-term blended query and scores across groups are combined.
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
. -
zero_terms_query string
Values are
all
ornone
.
-
-
nested object
Hide nested attributes Show nested attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped path and not return any documents instead of an error.
-
inner_hits object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
parent_id object
Hide parent_id attributes Show parent_id attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
id string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
type string
-
-
percolate object
Hide percolate attributes Show percolate attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
document object
The source of the document being percolated.
-
documents array[object]
An array of sources of the documents being percolated.
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
id string
-
index string
-
name string
The suffix used for the
_percolator_document_slot
field when multiplepercolate
queries are specified. -
preference string
Preference used to fetch document to percolate.
-
routing string
-
version number
-
-
pinned object
Hide pinned attributes Show pinned attributes object
-
prefix object
Returns documents that contain a specific prefix in a provided field.
-
query_string object
Hide query_string attributes Show query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
allow_leading_wildcard boolean
If
true
, the wildcard characters*
and?
are allowed as the first character of the query string. -
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, match phrase queries are automatically created for multi-term synonyms. -
default_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
default_operator string
Values are
and
,AND
,or
, orOR
. -
enable_position_increments boolean
If
true
, enable position increments in queries constructed from aquery_string
search. -
escape boolean
-
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. -
max_determinized_states number
Maximum number of automaton states required for the query.
-
phrase_slop number
Maximum number of positions allowed between matching tokens for phrases.
-
Query string you wish to parse and use for search.
-
quote_analyzer string
Analyzer used to convert quoted text in the query string into tokens. For quoted text, this parameter overrides the analyzer specified in the
analyzer
parameter. -
quote_field_suffix string
Suffix appended to quoted text in the query string. You can use this suffix to use a different analysis method for exact matches.
-
rewrite string
-
tie_breaker number
How to combine the queries generated from the individual search terms in the resulting
dis_max
query. -
time_zone string
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
.
-
-
range object
Returns documents that contain terms within a provided range.
-
rank_feature object
Hide rank_feature attributes Show rank_feature attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
regexp object
Returns documents that contain terms matching a regular expression.
-
rule object
Hide rule attributes Show rule attributes object
-
script object
Hide script attributes Show script attributes object
-
script_score object
Hide script_score attributes Show script_score attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
min_score number
Documents with a score lower than this floating point number are excluded from the search results.
-
-
semantic object
Hide semantic attributes Show semantic attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
The field to query, which must be a semantic_text field type
-
The query text
-
-
shape object
Hide shape attributes Show shape attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
When set to
true
the query ignores an unmapped field and will not match any documents.
-
-
simple_query_string object
Hide simple_query_string attributes Show simple_query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, the parser creates a match_phrase query for each multi-position token. -
default_operator string
Values are
and
,AND
,or
, orOR
. -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. -
Query string in the simple query string syntax you wish to parse and use for search.
-
quote_field_suffix string
Suffix appended to quoted text in the query string.
-
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
Matches spans containing a term.
-
span_within object
Hide span_within attributes Show span_within attributes object
-
sparse_vector object
Hide sparse_vector attributes Show sparse_vector attributes object
-
term object
Returns documents that contain an exact term in a provided field. To return a document, the query term must exactly match the queried field's value, including whitespace and capitalization.
-
terms object
Hide terms attributes Show terms attributes object
-
terms_set object
Returns documents that contain a minimum number of exact terms in a provided field. To return a document, a required number of terms must exactly match the field values, including whitespace and capitalization.
-
Uses a natural language processing model to convert the query text into a list of token-weight pairs which are then used in a query against a sparse vector or rank features field.
-
Supports returning text_expansion query results by sending in precomputed tokens with the query.
-
wildcard object
Returns documents that contain terms matching a wildcard pattern.
-
wrapper object
Hide wrapper attributes Show wrapper attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
A base64 encoded query. The binary data format can be any of JSON, YAML, CBOR or SMILE encodings
-
-
type object
Hide type attributes Show type attributes object
-
-
size number
-
-
List of document ratings
-
template_id string
-
params object
The search template parameters.
Hide params attributes Show params attributes object
-
key object
-
metric object
Hide metric attributes Show metric attributes object
-
precision object
Hide precision attributes Show precision attributes object
-
k number
Sets the maximum number of documents retrieved per query. This value will act in place of the usual size parameter in the query.
-
relevant_rating_threshold number
Sets the rating threshold above which documents are considered to be "relevant".
-
ignore_unlabeled boolean
Controls how unlabeled documents in the search results are counted. If set to true, unlabeled documents are ignored and neither count as relevant or irrelevant. Set to false (the default), they are treated as irrelevant.
-
-
recall object
Hide recall attributes Show recall attributes object
-
k number
Sets the maximum number of documents retrieved per query. This value will act in place of the usual size parameter in the query.
-
relevant_rating_threshold number
Sets the rating threshold above which documents are considered to be "relevant".
-
-
mean_reciprocal_rank object
Hide mean_reciprocal_rank attributes Show mean_reciprocal_rank attributes object
-
k number
Sets the maximum number of documents retrieved per query. This value will act in place of the usual size parameter in the query.
-
relevant_rating_threshold number
Sets the rating threshold above which documents are considered to be "relevant".
-
-
dcg object
-
expected_reciprocal_rank object
Hide expected_reciprocal_rank attributes Show expected_reciprocal_rank attributes object
-
k number
Sets the maximum number of documents retrieved per query. This value will act in place of the usual size parameter in the query.
-
The highest relevance grade used in the user-supplied relevance judgments.
-
-
Responses
-
200 application/json
Hide response attributes Show response attributes object
-
The overall evaluation quality calculated by the defined metric
-
Hide details attributes Show details attributes object
-
The metric_score in the details section shows the contribution of this query to the global quality metric score
-
The unrated_docs section contains an _index and _id entry for each document in the search result for this query that didn’t have a ratings value. This can be used to ask the user to supply ratings for these documents
-
The hits section shows a grouping of the search results with their supplied ratings
Hide hits attributes Show hits attributes object
rating number | string | null
-
The metric_details give additional information about the calculated quality metric (e.g. how many of the retrieved documents were relevant). The content varies for each metric but allows for better interpretation of the results
Hide metric_details attributes Show metric_details attributes object
-
key object
-
Hide failures attributes Show failures attributes object
-
key object
-
curl \
-X POST http://api.example.com/{index}/_rank_eval \
-H "Content-Type: application/json" \
-d '{"requests":[{"id":"string","request":{"query":{"":{"boost":42.0,"_name":"string","value":"string"},"common":{},"fuzzy":{},"intervals":{},"match":{},"match_bool_prefix":{},"match_phrase":{},"match_phrase_prefix":{},"prefix":{},"range":{},"regexp":{},"span_term":{},"term":{},"terms_set":{},"text_expansion":{},"weighted_tokens":{},"wildcard":{}},"size":42.0},"ratings":[{"_id":"string","_index":"string","rating":42.0}],"template_id":"string","params":{"key":{}}}],"metric":{"":{"k":42.0,"maximum_relevance":42.0}}}'