ReactiveSearch API for Elasticsearch

This guide helps you to learn more about the each property of ReactiveSearch API and explains that how to use those properties to build the query for different use-cases.

This guide is specific to the keys supported for the ElasticSearch engine.

ReactiveSearch API request body can be divided into two parts, query and settings. The query key is an Array of objects where each object represents a ReactiveSearch query to retrieve the results. Settings(settings) is an optional key which can be used to control the search experience. Here is an example of the request body of ReactiveSearch API to get the results for which the title field matches with iphone.

{
    query: [{
        id: "phone-search",
        dataField: "title",
        size: 10,
        value: "iphone"
    }],
    settings: { // optional
        recordAnalytics: true, // to enable the analytics
        enableQueryRules: true, // to enable the query rules
    }
}

Query parameters

Reactivesearch API for elasticsearch supports all the query parameters supported by _msearch requests. Additionally, it supports following parameters:

preference

Node or shard used to perform the search. Defaults to a combination of query Id & user's IP address.

query

This is a required field

Supported Engines Not dependent on engine, works for all.

id

This is a required field

Supported Engines elasticsearch, mongodb, solr, opensearch

The unique identifier for the query can be referenced in the react property of other queries. The response of the ReactiveSearch API is a map of query ids to Elasticsearch response which means that id is also useful to retrieve the response for a particular query.

type

Supported Engines elasticsearch, mongodb, solr, opensearch

This property represents the type of the query which is defaults to search, valid values are search, suggestion, term, range & geo. You can read more here.

Following values are supported for this field

search, term, range, geo, suggestion

react

Supported Engines elasticsearch, mongodb, solr, opensearch

To specify dependent queries to update that particular query for which the react prop is defined. You can read more about it here.

Example Playground:

highlight

This property can be used to enable the highlighting in the returned results. If set to false, highlightField and highlightConfig values will be ignored.

Try out an example in ReactiveSearch Playground

queryFormat

Supported Engines elasticsearch, mongodb, solr, opensearch

Sets the query format, can be or, and and date format. Defaults to or.

• or returns all the results matching any of the search query text's parameters. For example, searching for "bat man" with or will return all the results matching either "bat" or "man".

• On the other hand with and, only results matching both "bat" and "man" will be returned. It returns the results matching all of the search query text's parameters."

• queryFormat can be set as Elasticsearch date format for range type of queries. It allows Elasticsearch to parse the range values (dates) to a specified format before querying the data. You can find the valid date formats at here.

Try out an example in ReactiveSearch Playground

dataField

Supported Engines elasticsearch, mongodb, solr, opensearch

database field(s) to be queried against, useful for applying search across multiple fields. It accepts the following formats:

• string
• DataField
• Array<string|DataField>

The DataField type has the following shape:

type DataField = {
    field: string;
    weight: float;
};

For examples,

1. dataField without field weights

    dataField: ['title', 'title.search']

2. dataField with field weights

    dataField: [
        {
            "field": "title",
            "weight": 1
        },
        {
            "field": "title.search",
            "weight": 3
        }
    ]

3. dataField with and without field weights

    dataField: [
        {
            "field": "title",
            "weight": 1
        },
        {
            "field": "title.search",
            "weight": 3
        },
        "description"
    ]

Note: Multiple dataFields are not applicable for term and geo queries.

Try out an example in ReactiveSearch Playground

categoryField

Supported Engines elasticsearch, mongodb, opensearch

Data field whose values are used to provide category specific suggestions.

Note:

The aggregationSize property can be used to control the size of category suggestions.

Try out an example in ReactiveSearch Playground

categoryValue

Supported Engines elasticsearch, mongodb, opensearch

This is the selected category value. It is used for informing the search result.

Try out an example in ReactiveSearch Playground

fieldWeights

Supported Engines elasticsearch, opensearch

To set the search weight for the database fields, useful when you are using more than one dataField. This prop accepts an array of floats. A higher number implies a higher relevance weight for the corresponding field in the search results.

For example, the below query has two data fields defined and each field has a different field weight.

{
    query: [{
        id: "book-search",
        dataField: ["original_title", "description"],
        fieldWeights: [3, 1],
        value: "harry"
    }]
}

Note: The fieldWeights property has been marked as deprecated in v7.47.0 and would be removed in the next major version of appbase.io. We recommend you to use the dataField property to define the weights.

nestedField

Supported Engines elasticsearch, mongodb, opensearch

Set the path of the nested type under which the dataField is present. Only applicable only when the field(s) specified in the dataField is(are) present under a nested type mapping.

Try out an example in ReactiveSearch Playground

from

Supported Engines elasticsearch, mongodb, solr, opensearch

Starting document offset. Defaults to 0.

Try out an example in ReactiveSearch Playground

size

Supported Engines elasticsearch, mongodb, solr, opensearch

To set the number of results to be returned by a query.

Try out an example in ReactiveSearch Playground

aggregationSize

Supported Engines elasticsearch, mongodb, solr, opensearch

To set the number of buckets to be returned by aggregations.

Note:

1. This property can also be used for search and suggestion type of queries when aggregationField or categoryField is set.
2. This is a new feature and only available for appbase versions >= 7.41.0.

Try out an example in ReactiveSearch Playground

sortBy

Supported Engines elasticsearch, mongodb, solr, opensearch

This property can be used to sort the results in a particular format. The valid values are:

• asc, sorts the results in ascending order,
• desc, sorts the results in descending order,
• count, sorts the aggregations by count.

Note:

Please note that the count value can only be applied when the query type is of term. In addition, the pagination property for the query needs to be set to false (default behavior). When pagination is true, a composite aggregation is used under the hood, which doesn't support ordering by count.

The sortBy value by default is set according to the following criterion:

• If field is _score, set as desc.
• If field is anything other than _score, set as asc

Following values are supported for this field

asc, desc, count

Try out an example in ReactiveSearch Playground

sortField

Supported Engines elasticsearch, solr, opensearch

This field should indicate the field that sort will be applied to. If not passed, then the first entry in the dataField (if passed as object or array) or the dataField itself (if passed as string) will be used.

The sortField key accepts different types of values:

1. string

String can be passed where the string is a dataField where sorting is supposed to be done on, following is an example:

{
    "sortField": "title"
}

In the above example, title is the dataField on which sorting will be done.

In the above example, the sorting method will be the value of sortBy (if passed) else the default value (which is asc for any field other than _score).

2. Array of string

An array of string can also be passed. This can be done in the following way:

{
    "sortField": [
        "title",
        "author",
        "price"
    ]
}

In the above example, title, author and price are valid dataFields on which sorting will be done.

In the above example, the sorting order will be based on the value of sortBy key if passed, or default to asc order. _score is a special field to sort by relevance, if specified, it is always sorted in desc order

3. Array of string / object

sortField also accepts a combined array where some fields are passed as object. Following is an example:

{
    "sortField": [
        "title",
        {"author": "desc"},
        {"price": "asc"}
    ]
}

In the above example, the sort order for title field will be asc (i.e. ascending). For the other fields, it will be as passed. The object should have the dataField as the key and the sort order as its value, only asc or desc are valid values here.

value

Supported Engines elasticsearch, mongodb, solr, opensearch

Represents the value for a particular query type, each kind of query has the different type of value format.

You can check the value format for different type of queries:

format for search and suggestion type

The value can be a string or int. Example Playground:

format for term type

The value can be a string or Array<string>. Example Playground:

format for range type

The value should be an Object in the following shape:

{
   "start": int | double | date, // optional
   "end": int | double | date, // optional
   "boost": int
}

Note:

Either start or end property must present in the value.

Example Playground:

format for geo type

The value should be an Object in the following shape:

{
   // The following properties can be used to get the results within a particular distance and location.
   "distance": int,
   "location": string, // must be in `{lat}, {lon}` format
   "unit": string,
   // The following properties can be used to get the results for a particular geo bounding box.
   "geoBoundingBox": {
       topLeft: string, // required, must be in `{lat}, {lon}` format
       bottomRight: string, // required, must be in `{lat}, {lon}` format
   }
}

Note: The geoBoundingBox property can not be used with location property, if both are defined than geoBoundingBox value will be ignored.

The below example represents a geo distance query:

    {
        "id": "distance_filter",
        "type": "geo",
        "dataField": ["location"],
        "value":  {
            "distance":10,
            "location":"22.3184816, 73.17065699999999",
            "unit": "mi/yd/ft/km/m/cm/mm/nmi"
        }
    }

The below example represents a geo bounding box query:

    {
        "id": "bounding_box_filter",
        "type": "geo",
        "dataField": ["location"],
        "value":  {
            "geoBoundingBox": {
                "topLeft": "40.73, -74.1",
                "bottomRight": "40.01, -71.12",
            }
        }
    }

Example Playground:

aggregationField

Supported Engines elasticsearch, mongodb, opensearch

aggregationField enables you to get DISTINCT results (useful when you are dealing with sessions, events, and logs type data). It utilizes composite aggregations which are newly introduced in ES v6 and offer vast performance benefits over a traditional terms aggregation.

Try out an example in ReactiveSearch Playground

after

Supported Engines elasticsearch, mongodb, opensearch

This property can be used to implement the pagination for aggregations. We use the composite aggregations of Elasticsearch to execute the aggregations' query, the response of composite aggregations includes a key named after_key which can be used to fetch the next set of aggregations for the same query. You can read more about the pagination for composite aggregations at here.

You need to define the after property in the next request to retrieve the next set of aggregations.

Try out an example in ReactiveSearch Playground

includeNullValues

Supported Engines elasticsearch, mongodb, solr, opensearch

If you have sparse data or documents or items not having the value in the specified field or mapping, then this prop enables you to show that data.

Try out an example in ReactiveSearch Playground

includeFields

Supported Engines elasticsearch, mongodb, solr, opensearch

Data fields to be included in search results. Defaults to [*] which means all fields are included.

Try out an example in ReactiveSearch Playground

excludeFields

Supported Engines elasticsearch, mongodb, solr, opensearch

Data fields to be excluded in search results.

Try out an example in ReactiveSearch Playground

fuzziness

Supported Engines elasticsearch, mongodb, opensearch

Useful for showing the correct results for an incorrect search parameter by taking the fuzziness into account. For example, with a substitution of one character, fox can become box. Read more about it in the elastic search https://www.elastic.co/guide/en/elasticsearch/guide/current/fuzziness.html.

Note:

This property doesn't work when the value of queryFormat property is set to and."

Try out an example in ReactiveSearch Playground

searchOperators

Supported Engines elasticsearch, mongodb, opensearch

Defaults to false. If set to true then you can use special characters in the search query to enable an advanced search behavior. Read more about it here.

Note: If both properties searchOperators and queryString are set to true then queryString will have the priority over searchOperators.

Try out an example in ReactiveSearch Playground

highlight

Supported Engines elasticsearch, mongodb, solr, opensearch

This property can be used to enable the highlighting in the returned results. If set to false, highlightField and highlightConfig values will be ignored.

Try out an example in ReactiveSearch Playground

highlightField

Supported Engines elasticsearch, mongodb, solr, opensearch

When highlighting is enabled, this property allows specifying the fields which should be returned with the matching highlights. When not specified, it defaults to apply highlights on the field(s) specified in the dataField prop.

Try out an example in ReactiveSearch Playground

customHighlight

Supported Engines elasticsearch, opensearch

highlightConfig

Supported Engines elasticsearch, mongodb, solr, opensearch

It can be used to set the custom highlight settings. You can read the Elasticsearch docs for the highlight options at here.

Try out an example in ReactiveSearch Playground

interval

Supported Engines elasticsearch, mongodb, solr, opensearch

To set the histogram bar interval, applicable when aggregations value is set to ["histogram"]. Defaults to Math.ceil((range.end - range.start) / 100) || 1.

Try out an example in ReactiveSearch Playground

aggregations

Supported Engines elasticsearch, mongodb, solr, opensearch

It helps you to utilize the built-in aggregations for range type of queries directly, valid values are:

• max: to retrieve the maximum value for a dataField,
• min: to retrieve the minimum value for a dataField,
• histogram: to retrieve the histogram aggregations for a particular interval

Try out an example in ReactiveSearch Playground

missingLabel

Supported Engines elasticsearch, mongodb, opensearch

Defaults to N/A. It allows you to specify a custom label to show when showMissing is set to true.

Note: This property doesn't work when pagination is set to true.

Try out an example in ReactiveSearch Playground

showMissing

Supported Engines elasticsearch, mongodb, solr, opensearch

Defaults to false. When set to true then it also retrieves the aggregations for missing fields.

Try out an example in ReactiveSearch Playground

defaultQuery

Supported Engines elasticsearch, mongodb, solr, opensearch

This property is useful to customize the source query, as defined in Elasticsearch Query DSL. It is different from the customQuery in a way that it doesn't get leaked to other queries(dependent queries by react prop) and only modifies the query for which it has been applied.

You can read more about the defaultQuery usage over here.

Try out an example in ReactiveSearch Playground

customQuery

Supported Engines elasticsearch, mongodb, solr, opensearch

Custom query property will be applied to the dependent queries by react property, as defined in Elasticsearch Query DSL. You can read more about the customQuery usage over here.

Note:

It'll not affect that particular query for which it has been defined, it'll only affect the query for dependent queries. If you want to customize the source query then use the defaultQuery property instead.

Try out an example in ReactiveSearch Playground

execute

Supported Engines elasticsearch, mongodb, solr, opensearch

Sometimes it may require that you want to apply some query for results with the help of react property but want to avoid any un-necessary query execution for the performance reasons. If you set execute to false for a particular query then you can use it with react prop without executing it. For example, consider a scenario where we want to filter the search query by some range. To implement it with RS API we need to define two queries(search & range type). Since you defined the two queries then by default both queries will get executed, however you can avoid this by setting execute to false for the range query.

Try out an example in ReactiveSearch Playground

enableSynonyms

Supported Engines elasticsearch, mongodb, solr, opensearch

This property can be used to control (enable/disable) the synonyms behavior for a particular query. Defaults to true, if set to false then fields having .synonyms suffix will not affect the query.

Try out an example in ReactiveSearch Playground

selectAllLabel

Supported Engines elasticsearch, mongodb, opensearch

This property allows you to add a new property in the list with a particular value in such a way that when selected i.e value is similar/contains to that label(selectAllLabel) then term query will make sure that the field exists in the results.

Try out an example in ReactiveSearch Playground

pagination

Supported Engines elasticsearch, mongodb, opensearch

This property allows you to implement the pagination for term type of queries. If pagination is set to true then appbase will use the composite aggregations of Elasticsearch instead of terms aggregations.

Note:

1. Sort by as count doesn't work with composite aggregations i.e when pagination is set to true.
2. The missingLabel property also won't work when composite aggregations have been used.

Try out an example in ReactiveSearch Playground

queryString

Supported Engines elasticsearch, mongodb, opensearch

Defaults to false. If set to true than it allows you to create a complex search that includes wildcard characters, searches across multiple fields, and more. Read more about it here.

Note: If both properties searchOperators and queryString are set to true then queryString will have the priority over searchOperators.

Try out an example in ReactiveSearch Playground

rankFeature

Supported Engines elasticsearch, opensearch

This property allows you to define the Elasticsearch rank feature query to boost the relevance score of documents based on the rank_feature fields.

The rankFeature object must be in the following shape:

{
    "field_name": {
        "boost": 1.0,
        "function_name": "function_object"
    }
}

• field_name It represents the dataField that has the rank_feature or rank_features mapping.
• boost [optional] A floating point number (shouldn't be negative) that is used to decrease (if the value is between 0 and 1) or increase relevance scores (if the value is greater than 1). Defaults to 1.
• function_name To calculate relevance scores based on rank feature fields, the rank_feature query supports the following mathematical functions:
  • saturation
  • log
  • sigmoid
• function_object The function object can be used to override the default values for functions.
  • saturation function supports the pivot property that must be greater than zero.
  • log function supports the scaling_factor property
  • sigmoid function supports pivot and exponent[must be positive] properties

The following example uses a rank feature field named pagerank with saturation function.

    {
        "id": "search",
        "dataField": ["content"],
        "value": "2016",
        "rankFeature": {
            "pagerank": {
                "saturation": {
                    "pivot": 2
                }
            }
        }
    }

The following example uses the boost property to boost the relevance score based on the pagerank field.

    {
        "id": "search",
        "dataField": ["content"],
        "value": "2016",
        "rankFeature": {
            "pagerank": {
                "boost": 2.0
            }
        }
    }

The following example uses all three functions (saturation, log and sigmoid) to boost the relevance scores.

    {
    "query": [
        {
            "id": "search",
            "dataField": [
                "content"
            ],
            "value": "2016",
            "rankFeature": {
                "pagerank": {
                    "saturation": {
                        "pivot": 2
                    }
                },
                "url_length": {
                    "log": {
                        "scaling_factor": 1
                    }
                },
                "topics.sports": {
                    "sigmoid": {
                        "pivot": 2,
                        "exponent": 1
                    }
                }
            }
        }
    ]
}

Try out an example in ReactiveSearch Playground

distinctField

Supported Engines elasticsearch, opensearch

This property returns only the distinct value documents for the specified field. It is equivalent to the DISTINCT clause in SQL. It internally uses the collapse feature of Elasticsearch. You can read more about it over here.

The following query would return the products for distinct brands.

{
    "query": [
        {
            "id": "test",
            "dataField": [
                "product_name"
            ],
            "distinctField": "brand.keyword",
        }
    ]
}

Try out an example in ReactiveSearch Playground

distinctFieldConfig

Supported Engines elasticsearch, opensearch

This property allows specifying additional options to the distinctField property. Using the allowed DSL, one can specify how to return K distinct values (default value of K=1), sort them by a specific order, or return a second level of distinct values. distinctFieldConfig object corresponds to the inner_hits key's DSL. You can read more about it over here.

The following query would return the products for distinct brands. Additionally, it would return the top five products for each brand.

{
    "query": [
        {
            "id": "test",
            "dataField": [
                "product_name"
            ],
            "distinctField": "brand.keyword",
            "distinctFieldConfig": {
                "inner_hits": {
                    "name": "most_recent",
                    "size": 5,
                    "sort": [
                        {
                            "crawl_timestamp.keyword": "asc"
                        }
                    ]
                },
                "max_concurrent_group_searches": 4
            }
        }
    ]
}

Try out an example in ReactiveSearch Playground

index

Supported Engines elasticsearch, mongodb, opensearch

The index property can be used to explicitly specify an index for a particular query. It is suitable for use-cases where you want to fetch results from more than one index in a single ReactiveSearch API request. The default value for the index is set to the index path variable defined in the URL.

Let's take this example to see how this works:

URL: /my-index/_reactivesearch.v3

Body:
{
	"query": [
	  {
		 "id": "search",
		 "type": "search",
		 ...
	  },
	  {
		 "id": "facet",
		 "type": "term",
		 "index": "optimized-facet-index"
	  }
	]
}

Here, the first query uses the my-index index to query against, as specified in the request URL. However, the second query will use the optimized-facet-index index as specified by the index key in it.

Try out an example in ReactiveSearch Playground

enableRecentSuggestions

Supported Engines elasticsearch, opensearch

When set to true, recent searches are returned as suggestions as per the recent suggestions config (either defaults, or as set through recentSuggestionsConfig or via Recent Suggestions settings in the control plane).

recentSuggestionsConfig

Supported Engines elasticsearch, opensearch

Specify additional options for fetching recent suggestions. It can accept the following keys:

• size: int Maximum number of recent suggestions to return. Defaults to 5.

• minHits: int Return only recent searches that returned at least minHits results. There is no default minimum hits-based restriction.

• minChars: int Return only recent suggestions that have minimum characters, as set in this property. There is no default minimum character-based restriction.

• index: string Index(es) from which to return the recent suggestions from. Defaults to the entire cluster.

Note: It is possible to define multiple indices using comma separated pattern, for e.g products,categories.

• customEvents Object Custom analytics events to filter the recent suggestions.

For example,

    "recentSuggestionsConfig": {
        "customEvents": {
            "browser": "Chrome",
            "user_id": "john@appbase.io"
        }
    }

sectionLabel: string To define the section title for recent suggestions.

sectionLabel: string To define the section title for popular suggestions.

Try out an example in ReactiveSearch Playground

enablePopularSuggestions

Supported Engines elasticsearch, mongodb, solr, opensearch

When set to true, popular searches based on aggregate end-user data are returned as suggestions as per the popular suggestions config (either defaults, or as set through popularSuggestionsConfig or via Popular Suggestions settings in the control plane)

popularSuggestionsConfig

Supported Engines elasticsearch, solr, opensearch

Specify additional options for fetching popular suggestions. It can accept the following keys:

• size: int Maximum number of popular suggestions to return. Defaults to 5.

• minCount: int Return only popular suggestions that have been searched at least minCount times. There is no default minimum count-based restriction.

• minChars: int Return only popular suggestions that have minimum characters, as set in this property. There is no default minimum character-based restriction.

• showGlobal: Boolean Defaults to true. When set to false, return popular suggestions only based on the current user's past searches.

• index: string Index(es) from which to return the popular suggestions from. Defaults to searching the entire cluster.

Note: It is possible to define multiple indices using a comma separated pattern, for e.g products,categories.

• customEvents Object Custom analytics events to filter the popular suggestions.

For example,

    "popularSuggestionsConfig": {
        "customEvents": {
            "browser": "Chrome",
            "user_id": "john@appbase.io"
        }
    }

sectionLabel: string To define the section title for popular suggestions.

Try out an example in ReactiveSearch Playground

enableFAQSuggestions

Supported Engines elasticsearch, opensearch

FAQSuggestionsConfig

Supported Engines elasticsearch, opensearch

showDistinctSuggestions

Supported Engines elasticsearch, solr, opensearch

enablePredictiveSuggestions

Supported Engines elasticsearch, solr, opensearch

When set to true, it predicts the next relevant words from the value of a field based on the search query typed by the user. When set to false (default), the matching document field's value would be displayed.

maxPredictedWords

Supported Engines elasticsearch, solr, opensearch

Defaults to 2. This property allows configuring the maximum number of relevant words that are predicted. Valid values are between [1, 5].

urlField

Supported Engines elasticsearch, solr, opensearch

Data field whose value contains a URL. This is a convenience prop that allows returning the URL value in the suggestion's response.

Try out an example in ReactiveSearch Playground

applyStopwords

Supported Engines elasticsearch, solr, opensearch

When set to true, it would not predict a suggestion which starts or ends with a stopword. You can use searchLanguage property to apply language specific stopwords.

customStopwords

Supported Engines elasticsearch, solr, opensearch

It allows you to define a list of custom stopwords. You can also set it through Index settings in the control plane.

searchLanguage

Supported Engines elasticsearch, solr, opensearch

Search language is useful to apply language specific stopwords for predictive suggestions. Defaults to english language.

We support following languages:

• arabic
• bulgarian
• czech
• danish
• english
• finnish
• french"
• german"
• hungarian
• italian"
• japanese
• latvian
• norwegian
• persian
• polish
• portuguese
• romanian
• russian
• slovak
• spanish
• swedish
• thai
• turkish

calendarInterval

Supported Engines elasticsearch, solr, opensearch

script

Supported Engines elasticsearch, opensearch

This field indicates the script to run while reordering the results. This script will be executed through ElasticSearch/OpenSearch directly and won't be run by ReactiveSearch.

ElasticSearch

For ElasticSearch, the script should be written in painless. By default the value is set to:

cosineSimilarity(params.queryVector, params.dataField) + 1.0

Following is an example to pass the above script:

{
    "query": [
        {
            "value": "sudoku",
            "vectorDataField": "name_vector",
            "queryVector": [1.0, -0.3],
            "script": "cosineSimilarity(params.queryVector, params.dataField) + 1.0"
        }
    ]
}

OpenSearch

For OpenSearch, the script can be one of the following values:

1. l2
2. l1
3. cosinesimil
4. hammingbit

The default is set to cosinesimil.

Following is an example to pass the script field for opensearch

{
    "query": [
        {
            "value": "sudoku",
            "vectorDataField": "name_vector",
            "queryVector": [1.0, -0.3],
            "script": "cosinesimil"
        }
    ]
}

queryVector

Supported Engines elasticsearch, opensearch

Specify a vector to match for the reordering the results using kNN (k-Nearest Neighbor). This is a required field in order to invoke reordering of results using the kNN functionality provided by ElasticSearch/OpenSearch.

This field should contain a vector with the same dimensions as the one that is stored in the index.

If dimensions passed are incorrect, ElasticSearch/OpenSearch will raise an error.

Following is an example of how queryVector can be passed:

{
    "query": [
        {
            "value": "sudoku",
            "queryVector": 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        }
    ]
}

vectorDataField

Supported Engines elasticsearch, opensearch

This field indicates the name of the field in the index that is supposed to be used in order to reorder the results using kNN provided by OpenSearch/ElasticSearch.

This is a required field in order to invoke the kNN reordering.

This field should be of type:

• dense_vector for ElasticSearch
• knn_vector for OpenSearch

Following is an example of passing this field along with the queryVector field.

We are assuming that the name_vector field is present in the index and this field is of the desired type to store vector data.

{
    "query": [
        {
            "value": "sudoku",
            "vectorDataField": "name_vector",
            "queryVector": [1.0, -0.1, ...]
        }
    ]
}

candidates

Supported Engines elasticsearch, opensearch

This indicates the number of candidates to consider while using the script_score functionality to reorder the results using kNN provided by ElasticSearch/OpenSearch.

This field can be an integer. The default value is set to 10.

enableFeaturedSuggestions

Supported Engines elasticsearch, solr, opensearch

When set to true, featured searches are returned as suggestions as per the featured suggestions config (either defaults, or as set through featuredSuggestionsConfig.

featuredSuggestionsConfig

Supported Engines elasticsearch, solr, opensearch

To define options to apply featured suggestions. It can accept the following keys:

• maxSuggestionsPerSection: int To restrict the number of featured suggestions per section.

• sectionsOrder: Array<string> To define the order of sections to be displayed in UI. For e.g, [\'document\', \'pages\', \'help\'].

enableIndexSuggestions

Supported Engines elasticsearch, solr, opensearch

This property can be used to disable the index suggestions. If set the false, Appbase would not query the search backend to fetch the suggestions.

enableEndpointSuggestions

Supported Engines elasticsearch, solr, opensearch

indexSuggestionsConfig

Supported Engines elasticsearch, solr, opensearch

Specify the additional options for index suggestions. It accepts following keys:

sectionLabel: string To define the section title for index suggestions.

deepPagination

Supported Engines elasticsearch, solr, opensearch

This flag tells RS whether to use the deep pagination functionality provided by the Backend to extract more than 10k results.

More about deepPagination can be read here for ElasticSearch

More about deepPagination can be read here for Solr

deepPaginationConfig

Supported Engines elasticsearch, solr, opensearch

Specify the configuration for using deep pagination in the respective backend.

ElasticSearch

For ElasticSearch, the deepPaginationConfig.cursor field should contain the sort array's first element of the last hits.hits item.

So if hits.hits is of length 10, then the deepPaginationConfig.cursor should be the sort field of the 9th index item of the search result.

More can be read about it here

Note that it is important to use sorting by passing the sortBy and/or sortField value to get the sort field in the response.

Solr

For Solr, the deepPaginationConfig.cursor field should contain the nextCursorMark value received in the root of the response body in the first request.

More can be read about it here

Note that it is important to use sorting by passing the sortBy and/or sortField value to get the nextCursorMark field in the response.

endpoint

Supported Engines elasticsearch, solr, opensearch

This field indicates the backend of ReactiveSearch. Backend implies the search service being used to store the data.

As of now, the backend field supports the following values:

1. elasticsearch: ElasticSearch
2. opensearch: OpenSearch

where elasticsearch is the default value.

This field is necessary if backend is OpenSearch and the kNN reordering of scripts are to be used.

Following example indicates how to use this field to use kNN reordering with OpenSearch as backend:

{
    "query": [
        {
            "value": "sudoku",
            "vectorDataField": "name_vector",
            "queryVector": [1.0, -0.2],
        }
    ],
    "settings": {
        "backend": "opensearch"
    }
}

includeValues

Supported Engines elasticsearch, solr, opensearch

This fields indicates which values should be included in the terms aggregation (if done so). Only applied for term type of queries.

This should be of type array of strings:

{
    "query": [{
        "includeValues": ["someterm"]
    }]
}

NOTE: The string can be a regex as well but only for ElasticSearch backend, not Solr.

ElasticSearch

For ElasticSearch this maps to the include field inside the term query.

Solr

For Solr, this maps to the facet.contains field.

excludeValues

Supported Engines elasticsearch, opensearch

This fields indicates which values should not be included in the terms aggregation (if done so). Only applied for term type of queries.

This should be of type array of strings:

{
    "query": [{
        "excludeValues": ["someterm"]
    }]
}

NOTE: The string can be a regex as well but only for ElasticSearch backend, not Solr.

ElasticSearch

For ElasticSearch this maps to the exclude field inside the term query.

Solr

For Solr, this maps to the facet.excludeTerms field.

searchboxId

Supported Engines elasticsearch, opensearch

When featured suggestions are enabled, set the value of the searchboxId to use for fetching them. This is configurable via ReactiveSearch dashboard and the following API endpoint.

range

Supported Engines elasticsearch, opensearch

settings

Supported Engines Not dependent on engine, works for all.

recordAnalytics

Supported Engines elasticsearch, solr, opensearch

bool defaults to false. If true then it'll enable the recording of Appbase.io analytics.

userId

Supported Engines elasticsearch, opensearch

String It allows you to define the user id which will be used to record the Appbase.io analytics.

customEvents

Supported Engines elasticsearch, opensearch

Object It allows you to set the custom events which can be used to build your own analytics on top of the Appbase.io analytics. Further, these events can be used to filter the analytics stats from the Appbase.io dashboard. In the below example, we're setting up two custom events that will be recorded with each search request.

{
    query: [...],
    settings: {
        customEvents: {
            platform: "android",
            user_segment: "paid"
        }
    }
}

enableQueryRules

Supported Engines elasticsearch, opensearch

bool defaults to true. It allows you to configure whether to apply the query rules for a particular query or not.

enableSearchRelevancy

Supported Engines elasticsearch, opensearch

bool defaults to true. It allows you to configure whether to apply the search relevancy or not.

useCache

Supported Engines elasticsearch, opensearch

Boolean This property when set allows you to cache the current search query. The useCache property takes precedence irrespective of whether caching is enabled or disabled via the dashboard.

Try out an example in ReactiveSearch Playground

queryRule

Supported Engines elasticsearch, opensearch

backend

Supported Engines elasticsearch, solr, opensearch

This field indicates the backend of ReactiveSearch. Backend implies the search service being used to store the data.

As of now, the backend field supports the following values:

1. elasticsearch: ElasticSearch
2. opensearch: OpenSearch

where elasticsearch is the default value.

This field is necessary if backend is OpenSearch and the kNN reordering of scripts are to be used.

Following example indicates how to use this field to use kNN reordering with OpenSearch as backend:

{
    "query": [
        {
            "value": "sudoku",
            "vectorDataField": "name_vector",
            "queryVector": [1.0, -0.2],
        }
    ],
    "settings": {
        "backend": "opensearch"
    }
}

Following values are supported for this field

elasticsearch, opensearch, mongodb, solr, zinc

metadata

Supported Engines Not dependent on engine, works for all.