Weaviate · Schema
TokenizeRequest
Request body for the generic tokenize endpoint.
Vector DatabaseArtificial IntelligenceMachine-LearningSemantic SearchOpen-SourceGraphQLKubernetes
Properties
| Name | Type | Description |
|---|---|---|
| text | string | The text to tokenize. |
| tokenization | string | The tokenization method to apply. |
| analyzerConfig | object | |
| stopwords | object | |
| stopwordPresets | object | Optional user-defined named stopword presets. Shape matches InvertedIndexConfig.stopwordPresets on a collection: each key is a preset name, each value is a plain list of stopwords. A preset name that |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://api-evangelist.github.io/weaviate/json-schema/weaviate-tokenize-request-schema.json",
"title": "TokenizeRequest",
"description": "Request body for the generic tokenize endpoint.",
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to tokenize."
},
"tokenization": {
"type": "string",
"description": "The tokenization method to apply.",
"enum": [
"word",
"lowercase",
"whitespace",
"field",
"trigram",
"gse",
"kagome_kr",
"kagome_ja",
"gse_ch"
]
},
"analyzerConfig": {
"$ref": "#/components/schemas/TextAnalyzerConfig"
},
"stopwords": {
"$ref": "#/components/schemas/StopwordConfig"
},
"stopwordPresets": {
"type": "object",
"description": "Optional user-defined named stopword presets. Shape matches InvertedIndexConfig.stopwordPresets on a collection: each key is a preset name, each value is a plain list of stopwords. A preset name that matches a built-in ('en', 'none') fully replaces the built-in. Preset names must not be empty or whitespace-only; each word list must contain at least one word; individual words must not be empty or whitespace-only. Mutually exclusive with stopwords \u2014 pass one or the other, not both.",
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
}
}
}
},
"required": [
"text",
"tokenization"
]
}
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