Index

The index object is where you define the structure of the index. The index defines what kind of data you can add to the index in the properties method.

Index example

index: {
  fields: {
    sku: { type: "keyword" }, 
    title: { type: "text" }, 
    description: { type: "text" },
    isActive: { type: "boolean" }
  }
}

The index object must have a fields property with the fields you want to include in the index. Each field object must include type. The type specifies the data type for the index field.

Metadata descriptions

The metadata property on the index is optional. Use it to add a description to the index. The description is exposed by the Enterspeed Query MCP to give AI agents meaningful context about what the index contains.

Index description example

index: {
  fields: { },
  metadata: { description: "The product index contains all products available in the assortment" }
}

Field

The metadata property on a field is optional. Use it to add a description to the field. The description is exposed by the Enterspeed Query MCP to give AI agents meaningful context about what the field is used for. The max character length of the field description is 50 characters.

Field description example

index: {
  fields: { 
    isActive: { type: "boolean", metadata: { description: "A boolean value indicating if the SKU is active" } }
  }
}

Types

Setting the right types for the properties in your index is important. The types defines the intend of the fields and prevents data of other types from going into the index. The types also helps with effeciently index, search, and analyze of the data added to the index.

Text

Type	Description
keyword	The `Keyword` type is for non-analyzed string values used in e.g. filtering and sorting
text	The `text` type will analyze string values. This makes it possible to do fuzzy search using the `search` property in the Query API but index time takes a bit longer

Numeric

Type	Description
integer	A 32 bit signed integer
long	A 64 bit signed integer
float	A 32 bit signed floating number
double	A 64 bit signed floating number

Boolean

Type	Description
boolean	A `true` / `false` value

Date

Type	Description
date	Support values like a Javascript Date object, a string like `2024-11-21` or `2024-11-21T23:00:00Z` or number of milliseconds since eclipse

List

Type	Description
keyword[]	List of the `Keyword` type for non-analyzed string values used in e.g. filtering and sorting
text[]	List of the `text` type for analyzing string values. This makes it possible to do fuzzy search using the `search` property in the Query API but index time takes a bit longer
integer[]	List of 32 bit signed integers
long[]	List of 64 bit signed integers
float[]	List of 32 bit signed floating numbers
double[]	List of 64 bit signed floating numbers
boolean[]	List of `true` / `false` values
date[]	List of dates with supported values like a Javascript Date object, strings like `2024-11-21T23:00:00Z` or numbers of milliseconds since eclipse

Range

Type	Description
integerRange	Must be an object like `{"gt": 10, "lt": 20}` or `{"gte": 10, "lte": 20}`
longRange	Must be an object like `{"gt": 10, "lt": 20 }` or `{"gte": 10, "lte": 20}`
floatRange	Must be an object like `{"gt": 10.0, "lt": 20.0}` or `{"gte": 10.0, "lte": 20.0}`
doubleRange	Must be an object like `{"gt": 10.0, "lt": 20.0}` or `{"gte": 10.0, "lte": 20.0}`
dateRange	Must be an object like `{"gt": "2025-01-01", "lt": "2025-02-01"}` or `{"gte": "2025-01-01", "lte": "2025-02-01"}`

Object

Type	Description
object	Supports any value of an object type, this object is not indexed and therefore not searchable, it can be used to associate a complex data type to an index item.

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Index

Metadata descriptions

Index

Field

Types

Text

Numeric

Boolean

Date

List

Range

Object

​Metadata descriptions

​Index

​Field

​Types

​Text

​Numeric

​Boolean

​Date

​List

​Range

​Object

Metadata descriptions

Index

Field

Types

Text

Numeric

Boolean

Date

List

Range

Object