947 lines
73 KiB
JSON
947 lines
73 KiB
JSON
{
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|
"name": "CreateSchemaObject",
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"fully_qualified_name": "WeaviateApi.CreateSchemaObject@0.1.0",
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"description": "Create a new collection (class) in Weaviate.\n\nThis tool is used to define and create a new collection (class) in Weaviate. It provides explicit control over the schema definition, which is essential when `AutoSchema` is not relied upon. Use this tool to ensure accurate schema setup in a Weaviate instance.",
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"toolkit": {
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"name": "ArcadeWeaviateApi",
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"description": null,
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"version": "0.1.0"
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},
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"input": {
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"parameters": [
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{
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"name": "collection_definition",
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"required": true,
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"description": "JSON object defining the collection to create, including class name and configurations.",
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"value_schema": {
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"val_type": "json",
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"inner_val_type": null,
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|
"enum": null,
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|
"properties": {
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"class": {
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|
"val_type": "string",
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|
"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Name of the collection (formerly 'class') (required). Multiple words should be concatenated in CamelCase, e.g. `ArticleAuthor`."
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},
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"vectorConfig": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Configure named vectors. Either use this field or `vectorizer`, `vectorIndexType`, and `vectorIndexConfig` fields. Available from `v1.24.0`."
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},
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"vectorIndexType": {
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"val_type": "string",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Name of the vector index type to use for the collection (e.g. `hnsw` or `flat`)."
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},
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"vectorIndexConfig": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Vector-index config, that is specific to the type of index selected in vectorIndexType"
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},
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"shardingConfig": {
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"val_type": "json",
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|
"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Manage how the index should be sharded and distributed in the cluster"
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},
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"replicationConfig": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": {
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"factor": {
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"val_type": "integer",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Number of times a collection (class) is replicated (default: 1)."
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},
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"asyncEnabled": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Enable asynchronous replication (default: `false`)."
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},
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"deletionStrategy": {
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"val_type": "string",
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"inner_val_type": null,
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"enum": [
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"NoAutomatedResolution",
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"DeleteOnConflict",
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"TimeBasedResolution"
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],
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"properties": null,
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"inner_properties": null,
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"description": "Conflict resolution strategy for deleted objects."
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}
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},
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"inner_properties": null,
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"description": "Configure how replication is executed in a cluster"
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},
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"invertedIndexConfig": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": {
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"cleanupIntervalSeconds": {
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"val_type": "number",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Asynchronous index clean up happens every n seconds (default: 60)."
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},
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"bm25": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": {
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"k1": {
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"val_type": "number",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Calibrates term-weight scaling based on the term frequency within a document (default: 1.2)."
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},
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"b": {
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"val_type": "number",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Calibrates term-weight scaling based on the document length (default: 0.75)."
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}
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},
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"inner_properties": null,
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"description": "Tuning parameters for the BM25 algorithm."
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},
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"stopwords": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": {
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"preset": {
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"val_type": "string",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Pre-existing list of common words by language (default: `en`). Options: [`en`, `none`]."
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},
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"additions": {
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"val_type": "array",
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"inner_val_type": "string",
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Stopwords to be considered additionally (default: []). Can be any array of custom strings."
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},
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"removals": {
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"val_type": "array",
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"inner_val_type": "string",
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Stopwords to be removed from consideration (default: []). Can be any array of custom strings."
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}
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},
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"inner_properties": null,
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"description": "Fine-grained control over stopword list usage."
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},
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"indexTimestamps": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Index each object by its internal timestamps (default: `false`)."
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},
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"indexNullState": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Index each object with the null state (default: `false`)."
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},
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"indexPropertyLength": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Index length of properties (default: `false`)."
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},
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"usingBlockMaxWAND": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Using BlockMax WAND for query execution (default: `false`, will be `true` for new collections created after 1.30)."
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}
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},
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"inner_properties": null,
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"description": "Configure the inverted index built into Weaviate. See [Reference: Inverted index](https://docs.weaviate.io/weaviate/config-refs/indexing/inverted-index#inverted-index-parameters) for details."
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},
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"multiTenancyConfig": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": {
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"enabled": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Whether or not multi-tenancy is enabled for this collection (class) (default: `false`)."
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},
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"autoTenantCreation": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Nonexistent tenants should (not) be created implicitly (default: `false`)."
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},
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"autoTenantActivation": {
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"val_type": "boolean",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Existing tenants should (not) be turned HOT implicitly when they are accessed and in another activity status (default: `false`)."
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}
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},
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"inner_properties": null,
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"description": "Configuration related to multi-tenancy within a collection (class)"
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},
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"vectorizer": {
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"val_type": "string",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Specify how the vectors for this collection should be determined. The options are either `none` - this means you have to import a vector with each object yourself - or the name of a module that provides vectorization capabilities, such as `text2vec-weaviate`. If left empty, it will use the globally configured default ([`DEFAULT_VECTORIZER_MODULE`](https://docs.weaviate.io/deploy/configuration/env-vars)) which can itself either be `none` or a specific module."
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},
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"moduleConfig": {
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Configuration specific to modules in a collection context."
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},
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"description": {
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"val_type": "string",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Description of the collection for metadata purposes."
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},
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"properties": {
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"val_type": "array",
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"inner_val_type": "json",
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"enum": null,
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"properties": null,
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"inner_properties": {
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"dataType": {
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"val_type": "array",
|
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"inner_val_type": "string",
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"enum": null,
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|
"properties": null,
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"inner_properties": null,
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|
"description": "Data type of the property (required). If it starts with a capital (for example Person), may be a reference to another type."
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},
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"description": {
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"val_type": "string",
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"inner_val_type": null,
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"enum": null,
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"properties": null,
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"inner_properties": null,
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"description": "Description of the property."
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},
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"moduleConfig": {
|
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"val_type": "json",
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"inner_val_type": null,
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"enum": null,
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|
"properties": null,
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"inner_properties": null,
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"description": "Configuration specific to modules in a collection context."
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},
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"name": {
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"val_type": "string",
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"inner_val_type": null,
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"enum": null,
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|
"properties": null,
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|
"inner_properties": null,
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|
"description": "The name of the property (required). Multiple words should be concatenated in camelCase, e.g. `nameOfAuthor`."
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},
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|
"indexInverted": {
|
|
"val_type": "boolean",
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|
"inner_val_type": null,
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|
"enum": null,
|
|
"properties": null,
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"inner_properties": null,
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"description": "(Deprecated). Whether to include this property in the inverted index. If `false`, this property cannot be used in `where` filters, `bm25` or `hybrid` search. <br/><br/>Unrelated to vectorization behavior (deprecated as of v1.19; use indexFilterable or/and indexSearchable instead)"
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},
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"indexFilterable": {
|
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"val_type": "boolean",
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|
"inner_val_type": null,
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|
"enum": null,
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|
"properties": null,
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|
"inner_properties": null,
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|
"description": "Whether to include this property in the filterable, Roaring Bitmap index. If `false`, this property cannot be used in `where` filters. <br/><br/>Note: Unrelated to vectorization behavior."
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},
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"indexSearchable": {
|
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"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
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|
"properties": null,
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"inner_properties": null,
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"description": "Optional. Should this property be indexed in the inverted index. Defaults to true. Applicable only to properties of data type text and text[]. If you choose false, you will not be able to use this property in bm25 or hybrid search. This property has no affect on vectorization decisions done by modules"
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},
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|
"indexRangeFilters": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
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|
"inner_properties": null,
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|
"description": "Whether to include this property in the filterable, range-based Roaring Bitmap index. Provides better performance for range queries compared to filterable index in large datasets. Applicable only to properties of data type int, number, date."
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},
|
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"tokenization": {
|
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"val_type": "string",
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|
"inner_val_type": null,
|
|
"enum": [
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"word",
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|
"lowercase",
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|
"whitespace",
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"field",
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|
"trigram",
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|
"gse",
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|
"kagome_kr",
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|
"kagome_ja",
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"gse_ch"
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],
|
|
"properties": null,
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|
"inner_properties": null,
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|
"description": "Determines how a property is indexed. This setting applies to `text` and `text[]` data types. The following tokenization methods are available:<br/><br/>- `word` (default): Splits the text on any non-alphanumeric characters and lowercases the tokens.<br/>- `lowercase`: Splits the text on whitespace and lowercases the tokens.<br/>- `whitespace`: Splits the text on whitespace. This tokenization is case-sensitive.<br/>- `field`: Indexes the entire property value as a single token after trimming whitespace.<br/>- `trigram`: Splits the property into rolling trigrams (three-character sequences).<br/>- `gse`: Uses the `gse` tokenizer, suitable for Chinese language text. [See `gse` docs](https://pkg.go.dev/github.com/go-ego/gse#section-readme).<br/>- `kagome_ja`: Uses the `Kagome` tokenizer with a Japanese (IPA) dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/>- `kagome_kr`: Uses the `Kagome` tokenizer with a Korean dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/><br/>See [Reference: Tokenization](https://docs.weaviate.io/weaviate/config-refs/collections#tokenization) for details."
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},
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"nestedProperties": {
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"val_type": "array",
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|
"inner_val_type": "json",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": {
|
|
"dataType": {
|
|
"val_type": "array",
|
|
"inner_val_type": "string",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"description": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"name": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"indexFilterable": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"indexSearchable": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"indexRangeFilters": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"tokenization": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": [
|
|
"word",
|
|
"lowercase",
|
|
"whitespace",
|
|
"field",
|
|
"trigram",
|
|
"gse",
|
|
"kagome_kr",
|
|
"kagome_ja",
|
|
"gse_ch"
|
|
],
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"nestedProperties": {
|
|
"val_type": "array",
|
|
"inner_val_type": "json",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": {},
|
|
"description": "The properties of the nested object(s). Applies to object and object[] data types."
|
|
}
|
|
},
|
|
"description": "The properties of the nested object(s). Applies to object and object[] data types."
|
|
}
|
|
},
|
|
"description": "Define properties of the collection."
|
|
}
|
|
},
|
|
"inner_properties": null,
|
|
"description": "The definition of the collection (class) to create."
|
|
},
|
|
"inferrable": true,
|
|
"http_endpoint_parameter_name": "requestBody"
|
|
}
|
|
]
|
|
},
|
|
"output": {
|
|
"description": "Response from the API endpoint 'schema.objects.create'.",
|
|
"available_modes": [
|
|
"value",
|
|
"error",
|
|
"null"
|
|
],
|
|
"value_schema": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
}
|
|
},
|
|
"requirements": {
|
|
"authorization": null,
|
|
"secrets": [
|
|
{
|
|
"key": "WEAVIATE_API_KEY"
|
|
},
|
|
{
|
|
"key": "WEAVIATE_SERVER_URL"
|
|
}
|
|
],
|
|
"metadata": null
|
|
},
|
|
"deprecation_message": null,
|
|
"metadata": {
|
|
"object_type": "api_wrapper_tool",
|
|
"version": "1.1.0",
|
|
"description": "Tools that enable LLMs to interact directly with the weaviate API."
|
|
},
|
|
"http_endpoint": {
|
|
"metadata": {
|
|
"object_type": "http_endpoint",
|
|
"version": "1.2.0",
|
|
"description": ""
|
|
},
|
|
"url": "{weaviate_server_url}/v1/schema",
|
|
"http_method": "POST",
|
|
"headers": {},
|
|
"parameters": [
|
|
{
|
|
"name": "requestBody",
|
|
"tool_parameter_name": "collection_definition",
|
|
"description": "The definition of the collection (class) to create.",
|
|
"value_schema": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": {
|
|
"class": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Name of the collection (formerly 'class') (required). Multiple words should be concatenated in CamelCase, e.g. `ArticleAuthor`."
|
|
},
|
|
"vectorConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Configure named vectors. Either use this field or `vectorizer`, `vectorIndexType`, and `vectorIndexConfig` fields. Available from `v1.24.0`."
|
|
},
|
|
"vectorIndexType": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Name of the vector index type to use for the collection (e.g. `hnsw` or `flat`)."
|
|
},
|
|
"vectorIndexConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Vector-index config, that is specific to the type of index selected in vectorIndexType"
|
|
},
|
|
"shardingConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Manage how the index should be sharded and distributed in the cluster"
|
|
},
|
|
"replicationConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": {
|
|
"factor": {
|
|
"val_type": "integer",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Number of times a collection (class) is replicated (default: 1)."
|
|
},
|
|
"asyncEnabled": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Enable asynchronous replication (default: `false`)."
|
|
},
|
|
"deletionStrategy": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": [
|
|
"NoAutomatedResolution",
|
|
"DeleteOnConflict",
|
|
"TimeBasedResolution"
|
|
],
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Conflict resolution strategy for deleted objects."
|
|
}
|
|
},
|
|
"inner_properties": null,
|
|
"description": "Configure how replication is executed in a cluster"
|
|
},
|
|
"invertedIndexConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": {
|
|
"cleanupIntervalSeconds": {
|
|
"val_type": "number",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Asynchronous index clean up happens every n seconds (default: 60)."
|
|
},
|
|
"bm25": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": {
|
|
"k1": {
|
|
"val_type": "number",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Calibrates term-weight scaling based on the term frequency within a document (default: 1.2)."
|
|
},
|
|
"b": {
|
|
"val_type": "number",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Calibrates term-weight scaling based on the document length (default: 0.75)."
|
|
}
|
|
},
|
|
"inner_properties": null,
|
|
"description": "Tuning parameters for the BM25 algorithm."
|
|
},
|
|
"stopwords": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": {
|
|
"preset": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Pre-existing list of common words by language (default: `en`). Options: [`en`, `none`]."
|
|
},
|
|
"additions": {
|
|
"val_type": "array",
|
|
"inner_val_type": "string",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Stopwords to be considered additionally (default: []). Can be any array of custom strings."
|
|
},
|
|
"removals": {
|
|
"val_type": "array",
|
|
"inner_val_type": "string",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Stopwords to be removed from consideration (default: []). Can be any array of custom strings."
|
|
}
|
|
},
|
|
"inner_properties": null,
|
|
"description": "Fine-grained control over stopword list usage."
|
|
},
|
|
"indexTimestamps": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Index each object by its internal timestamps (default: `false`)."
|
|
},
|
|
"indexNullState": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Index each object with the null state (default: `false`)."
|
|
},
|
|
"indexPropertyLength": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Index length of properties (default: `false`)."
|
|
},
|
|
"usingBlockMaxWAND": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Using BlockMax WAND for query execution (default: `false`, will be `true` for new collections created after 1.30)."
|
|
}
|
|
},
|
|
"inner_properties": null,
|
|
"description": "Configure the inverted index built into Weaviate. See [Reference: Inverted index](https://docs.weaviate.io/weaviate/config-refs/indexing/inverted-index#inverted-index-parameters) for details."
|
|
},
|
|
"multiTenancyConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": {
|
|
"enabled": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Whether or not multi-tenancy is enabled for this collection (class) (default: `false`)."
|
|
},
|
|
"autoTenantCreation": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Nonexistent tenants should (not) be created implicitly (default: `false`)."
|
|
},
|
|
"autoTenantActivation": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Existing tenants should (not) be turned HOT implicitly when they are accessed and in another activity status (default: `false`)."
|
|
}
|
|
},
|
|
"inner_properties": null,
|
|
"description": "Configuration related to multi-tenancy within a collection (class)"
|
|
},
|
|
"vectorizer": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Specify how the vectors for this collection should be determined. The options are either `none` - this means you have to import a vector with each object yourself - or the name of a module that provides vectorization capabilities, such as `text2vec-weaviate`. If left empty, it will use the globally configured default ([`DEFAULT_VECTORIZER_MODULE`](https://docs.weaviate.io/deploy/configuration/env-vars)) which can itself either be `none` or a specific module."
|
|
},
|
|
"moduleConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Configuration specific to modules in a collection context."
|
|
},
|
|
"description": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Description of the collection for metadata purposes."
|
|
},
|
|
"properties": {
|
|
"val_type": "array",
|
|
"inner_val_type": "json",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": {
|
|
"dataType": {
|
|
"val_type": "array",
|
|
"inner_val_type": "string",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Data type of the property (required). If it starts with a capital (for example Person), may be a reference to another type."
|
|
},
|
|
"description": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Description of the property."
|
|
},
|
|
"moduleConfig": {
|
|
"val_type": "json",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Configuration specific to modules in a collection context."
|
|
},
|
|
"name": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "The name of the property (required). Multiple words should be concatenated in camelCase, e.g. `nameOfAuthor`."
|
|
},
|
|
"indexInverted": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "(Deprecated). Whether to include this property in the inverted index. If `false`, this property cannot be used in `where` filters, `bm25` or `hybrid` search. <br/><br/>Unrelated to vectorization behavior (deprecated as of v1.19; use indexFilterable or/and indexSearchable instead)"
|
|
},
|
|
"indexFilterable": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Whether to include this property in the filterable, Roaring Bitmap index. If `false`, this property cannot be used in `where` filters. <br/><br/>Note: Unrelated to vectorization behavior."
|
|
},
|
|
"indexSearchable": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Optional. Should this property be indexed in the inverted index. Defaults to true. Applicable only to properties of data type text and text[]. If you choose false, you will not be able to use this property in bm25 or hybrid search. This property has no affect on vectorization decisions done by modules"
|
|
},
|
|
"indexRangeFilters": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Whether to include this property in the filterable, range-based Roaring Bitmap index. Provides better performance for range queries compared to filterable index in large datasets. Applicable only to properties of data type int, number, date."
|
|
},
|
|
"tokenization": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": [
|
|
"word",
|
|
"lowercase",
|
|
"whitespace",
|
|
"field",
|
|
"trigram",
|
|
"gse",
|
|
"kagome_kr",
|
|
"kagome_ja",
|
|
"gse_ch"
|
|
],
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": "Determines how a property is indexed. This setting applies to `text` and `text[]` data types. The following tokenization methods are available:<br/><br/>- `word` (default): Splits the text on any non-alphanumeric characters and lowercases the tokens.<br/>- `lowercase`: Splits the text on whitespace and lowercases the tokens.<br/>- `whitespace`: Splits the text on whitespace. This tokenization is case-sensitive.<br/>- `field`: Indexes the entire property value as a single token after trimming whitespace.<br/>- `trigram`: Splits the property into rolling trigrams (three-character sequences).<br/>- `gse`: Uses the `gse` tokenizer, suitable for Chinese language text. [See `gse` docs](https://pkg.go.dev/github.com/go-ego/gse#section-readme).<br/>- `kagome_ja`: Uses the `Kagome` tokenizer with a Japanese (IPA) dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/>- `kagome_kr`: Uses the `Kagome` tokenizer with a Korean dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/><br/>See [Reference: Tokenization](https://docs.weaviate.io/weaviate/config-refs/collections#tokenization) for details."
|
|
},
|
|
"nestedProperties": {
|
|
"val_type": "array",
|
|
"inner_val_type": "json",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": {
|
|
"dataType": {
|
|
"val_type": "array",
|
|
"inner_val_type": "string",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"description": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"name": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"indexFilterable": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"indexSearchable": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"indexRangeFilters": {
|
|
"val_type": "boolean",
|
|
"inner_val_type": null,
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"tokenization": {
|
|
"val_type": "string",
|
|
"inner_val_type": null,
|
|
"enum": [
|
|
"word",
|
|
"lowercase",
|
|
"whitespace",
|
|
"field",
|
|
"trigram",
|
|
"gse",
|
|
"kagome_kr",
|
|
"kagome_ja",
|
|
"gse_ch"
|
|
],
|
|
"properties": null,
|
|
"inner_properties": null,
|
|
"description": null
|
|
},
|
|
"nestedProperties": {
|
|
"val_type": "array",
|
|
"inner_val_type": "json",
|
|
"enum": null,
|
|
"properties": null,
|
|
"inner_properties": {},
|
|
"description": "The properties of the nested object(s). Applies to object and object[] data types."
|
|
}
|
|
},
|
|
"description": "The properties of the nested object(s). Applies to object and object[] data types."
|
|
}
|
|
},
|
|
"description": "Define properties of the collection."
|
|
}
|
|
},
|
|
"inner_properties": null,
|
|
"description": "The definition of the collection (class) to create."
|
|
},
|
|
"accepted_as": "body",
|
|
"required": true,
|
|
"deprecated": false,
|
|
"default": null,
|
|
"documentation_urls": []
|
|
}
|
|
],
|
|
"documentation_urls": [],
|
|
"secrets": [
|
|
{
|
|
"arcade_key": "WEAVIATE_API_KEY",
|
|
"parameter_name": "Authorization",
|
|
"accepted_as": "header",
|
|
"formatted_value": "Bearer {authorization}",
|
|
"description": "",
|
|
"is_auth_token": false
|
|
},
|
|
{
|
|
"arcade_key": "WEAVIATE_SERVER_URL",
|
|
"parameter_name": "weaviate_server_url",
|
|
"accepted_as": "path",
|
|
"formatted_value": null,
|
|
"description": "",
|
|
"is_auth_token": false
|
|
}
|
|
],
|
|
"request_body_spec": "{\n \"description\": \"The definition of the collection (class) to create.\",\n \"content\": {\n \"application/yaml\": {\n \"schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"class\": {\n \"type\": \"string\",\n \"description\": \"Name of the collection (formerly 'class') (required). Multiple words should be concatenated in CamelCase, e.g. `ArticleAuthor`.\"\n },\n \"vectorConfig\": {\n \"type\": \"object\",\n \"additionalProperties\": {\n \"type\": \"object\",\n \"properties\": {\n \"vectorizer\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Configuration of a specific vectorizer used by this vector\"\n },\n \"vectorIndexType\": {\n \"type\": \"string\",\n \"description\": \"Name of the vector index to use, eg. (HNSW)\"\n },\n \"vectorIndexConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Vector-index config, that is specific to the type of index selected in vectorIndexType\"\n }\n }\n },\n \"description\": \"Configure named vectors. Either use this field or `vectorizer`, `vectorIndexType`, and `vectorIndexConfig` fields. Available from `v1.24.0`.\"\n },\n \"vectorIndexType\": {\n \"type\": \"string\",\n \"description\": \"Name of the vector index type to use for the collection (e.g. `hnsw` or `flat`).\"\n },\n \"vectorIndexConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Vector-index config, that is specific to the type of index selected in vectorIndexType\"\n },\n \"shardingConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Manage how the index should be sharded and distributed in the cluster\"\n },\n \"replicationConfig\": {\n \"type\": \"object\",\n \"properties\": {\n \"factor\": {\n \"type\": \"integer\",\n \"description\": \"Number of times a collection (class) is replicated (default: 1).\"\n },\n \"asyncEnabled\": {\n \"type\": \"boolean\",\n \"description\": \"Enable asynchronous replication (default: `false`).\",\n \"x-omitempty\": false\n },\n \"deletionStrategy\": {\n \"type\": \"string\",\n \"description\": \"Conflict resolution strategy for deleted objects.\",\n \"enum\": [\n \"NoAutomatedResolution\",\n \"DeleteOnConflict\",\n \"TimeBasedResolution\"\n ],\n \"x-omitempty\": true\n }\n },\n \"description\": \"Configure how replication is executed in a cluster\"\n },\n \"invertedIndexConfig\": {\n \"type\": \"object\",\n \"properties\": {\n \"cleanupIntervalSeconds\": {\n \"type\": \"number\",\n \"description\": \"Asynchronous index clean up happens every n seconds (default: 60).\",\n \"format\": \"int\"\n },\n \"bm25\": {\n \"type\": \"object\",\n \"properties\": {\n \"k1\": {\n \"type\": \"number\",\n \"description\": \"Calibrates term-weight scaling based on the term frequency within a document (default: 1.2).\",\n \"format\": \"float\"\n },\n \"b\": {\n \"type\": \"number\",\n \"description\": \"Calibrates term-weight scaling based on the document length (default: 0.75).\",\n \"format\": \"float\"\n }\n },\n \"description\": \"Tuning parameters for the BM25 algorithm.\"\n },\n \"stopwords\": {\n \"type\": \"object\",\n \"properties\": {\n \"preset\": {\n \"type\": \"string\",\n \"description\": \"Pre-existing list of common words by language (default: `en`). Options: [`en`, `none`].\"\n },\n \"additions\": {\n \"type\": \"array\",\n \"description\": \"Stopwords to be considered additionally (default: []). Can be any array of custom strings.\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"removals\": {\n \"type\": \"array\",\n \"description\": \"Stopwords to be removed from consideration (default: []). Can be any array of custom strings.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n },\n \"description\": \"Fine-grained control over stopword list usage.\"\n },\n \"indexTimestamps\": {\n \"type\": \"boolean\",\n \"description\": \"Index each object by its internal timestamps (default: `false`).\"\n },\n \"indexNullState\": {\n \"type\": \"boolean\",\n \"description\": \"Index each object with the null state (default: `false`).\"\n },\n \"indexPropertyLength\": {\n \"type\": \"boolean\",\n \"description\": \"Index length of properties (default: `false`).\"\n },\n \"usingBlockMaxWAND\": {\n \"type\": \"boolean\",\n \"description\": \"Using BlockMax WAND for query execution (default: `false`, will be `true` for new collections created after 1.30).\"\n }\n },\n \"description\": \"Configure the inverted index built into Weaviate. See [Reference: Inverted index](https://docs.weaviate.io/weaviate/config-refs/indexing/inverted-index#inverted-index-parameters) for details.\"\n },\n \"multiTenancyConfig\": {\n \"type\": \"object\",\n \"properties\": {\n \"enabled\": {\n \"type\": \"boolean\",\n \"description\": \"Whether or not multi-tenancy is enabled for this collection (class) (default: `false`).\",\n \"x-omitempty\": false\n },\n \"autoTenantCreation\": {\n \"type\": \"boolean\",\n \"description\": \"Nonexistent tenants should (not) be created implicitly (default: `false`).\",\n \"x-omitempty\": false\n },\n \"autoTenantActivation\": {\n \"type\": \"boolean\",\n \"description\": \"Existing tenants should (not) be turned HOT implicitly when they are accessed and in another activity status (default: `false`).\",\n \"x-omitempty\": false\n }\n },\n \"description\": \"Configuration related to multi-tenancy within a collection (class)\"\n },\n \"vectorizer\": {\n \"type\": \"string\",\n \"description\": \"Specify how the vectors for this collection should be determined. The options are either `none` - this means you have to import a vector with each object yourself - or the name of a module that provides vectorization capabilities, such as `text2vec-weaviate`. If left empty, it will use the globally configured default ([`DEFAULT_VECTORIZER_MODULE`](https://docs.weaviate.io/deploy/configuration/env-vars)) which can itself either be `none` or a specific module.\"\n },\n \"moduleConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Configuration specific to modules in a collection context.\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"Description of the collection for metadata purposes.\"\n },\n \"properties\": {\n \"type\": \"array\",\n \"description\": \"Define properties of the collection.\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"dataType\": {\n \"type\": \"array\",\n \"description\": \"Data type of the property (required). If it starts with a capital (for example Person), may be a reference to another type.\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"Description of the property.\"\n },\n \"moduleConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Configuration specific to modules in a collection context.\"\n },\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the property (required). Multiple words should be concatenated in camelCase, e.g. `nameOfAuthor`.\"\n },\n \"indexInverted\": {\n \"type\": \"boolean\",\n \"description\": \"(Deprecated). Whether to include this property in the inverted index. If `false`, this property cannot be used in `where` filters, `bm25` or `hybrid` search. <br/><br/>Unrelated to vectorization behavior (deprecated as of v1.19; use indexFilterable or/and indexSearchable instead)\",\n \"nullable\": true\n },\n \"indexFilterable\": {\n \"type\": \"boolean\",\n \"description\": \"Whether to include this property in the filterable, Roaring Bitmap index. If `false`, this property cannot be used in `where` filters. <br/><br/>Note: Unrelated to vectorization behavior.\",\n \"nullable\": true\n },\n \"indexSearchable\": {\n \"type\": \"boolean\",\n \"description\": \"Optional. Should this property be indexed in the inverted index. Defaults to true. Applicable only to properties of data type text and text[]. If you choose false, you will not be able to use this property in bm25 or hybrid search. This property has no affect on vectorization decisions done by modules\",\n \"nullable\": true\n },\n \"indexRangeFilters\": {\n \"type\": \"boolean\",\n \"description\": \"Whether to include this property in the filterable, range-based Roaring Bitmap index. Provides better performance for range queries compared to filterable index in large datasets. Applicable only to properties of data type int, number, date.\",\n \"nullable\": true\n },\n \"tokenization\": {\n \"type\": \"string\",\n \"description\": \"Determines how a property is indexed. This setting applies to `text` and `text[]` data types. The following tokenization methods are available:<br/><br/>- `word` (default): Splits the text on any non-alphanumeric characters and lowercases the tokens.<br/>- `lowercase`: Splits the text on whitespace and lowercases the tokens.<br/>- `whitespace`: Splits the text on whitespace. This tokenization is case-sensitive.<br/>- `field`: Indexes the entire property value as a single token after trimming whitespace.<br/>- `trigram`: Splits the property into rolling trigrams (three-character sequences).<br/>- `gse`: Uses the `gse` tokenizer, suitable for Chinese language text. [See `gse` docs](https://pkg.go.dev/github.com/go-ego/gse#section-readme).<br/>- `kagome_ja`: Uses the `Kagome` tokenizer with a Japanese (IPA) dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/>- `kagome_kr`: Uses the `Kagome` tokenizer with a Korean dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/><br/>See [Reference: Tokenization](https://docs.weaviate.io/weaviate/config-refs/collections#tokenization) for details.\",\n \"enum\": [\n \"word\",\n \"lowercase\",\n \"whitespace\",\n \"field\",\n \"trigram\",\n \"gse\",\n \"kagome_kr\",\n \"kagome_ja\",\n \"gse_ch\"\n ]\n },\n \"nestedProperties\": {\n \"type\": \"array\",\n \"description\": \"The properties of the nested object(s). Applies to object and object[] data types.\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"dataType\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"description\": {\n \"type\": \"string\"\n },\n \"name\": {\n \"type\": \"string\"\n },\n \"indexFilterable\": {\n \"type\": \"boolean\",\n \"nullable\": true\n },\n \"indexSearchable\": {\n \"type\": \"boolean\",\n \"nullable\": true\n },\n \"indexRangeFilters\": {\n \"type\": \"boolean\",\n \"nullable\": true\n },\n \"tokenization\": {\n \"type\": \"string\",\n \"enum\": [\n \"word\",\n \"lowercase\",\n \"whitespace\",\n \"field\",\n \"trigram\",\n \"gse\",\n \"kagome_kr\",\n \"kagome_ja\",\n \"gse_ch\"\n ]\n },\n \"nestedProperties\": {\n \"type\": \"array\",\n \"description\": \"The properties of the nested object(s). Applies to object and object[] data types.\",\n \"items\": {\n \"$ref\": \"#/components/schemas/NestedProperty\",\n \"has_circular_reference\": true\n },\n \"x-omitempty\": true\n }\n }\n },\n \"x-omitempty\": true\n }\n }\n }\n }\n }\n }\n },\n \"application/json\": {\n \"schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"class\": {\n \"type\": \"string\",\n \"description\": \"Name of the collection (formerly 'class') (required). Multiple words should be concatenated in CamelCase, e.g. `ArticleAuthor`.\"\n },\n \"vectorConfig\": {\n \"type\": \"object\",\n \"additionalProperties\": {\n \"type\": \"object\",\n \"properties\": {\n \"vectorizer\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Configuration of a specific vectorizer used by this vector\"\n },\n \"vectorIndexType\": {\n \"type\": \"string\",\n \"description\": \"Name of the vector index to use, eg. (HNSW)\"\n },\n \"vectorIndexConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Vector-index config, that is specific to the type of index selected in vectorIndexType\"\n }\n }\n },\n \"description\": \"Configure named vectors. Either use this field or `vectorizer`, `vectorIndexType`, and `vectorIndexConfig` fields. Available from `v1.24.0`.\"\n },\n \"vectorIndexType\": {\n \"type\": \"string\",\n \"description\": \"Name of the vector index type to use for the collection (e.g. `hnsw` or `flat`).\"\n },\n \"vectorIndexConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Vector-index config, that is specific to the type of index selected in vectorIndexType\"\n },\n \"shardingConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Manage how the index should be sharded and distributed in the cluster\"\n },\n \"replicationConfig\": {\n \"type\": \"object\",\n \"properties\": {\n \"factor\": {\n \"type\": \"integer\",\n \"description\": \"Number of times a collection (class) is replicated (default: 1).\"\n },\n \"asyncEnabled\": {\n \"type\": \"boolean\",\n \"description\": \"Enable asynchronous replication (default: `false`).\",\n \"x-omitempty\": false\n },\n \"deletionStrategy\": {\n \"type\": \"string\",\n \"description\": \"Conflict resolution strategy for deleted objects.\",\n \"enum\": [\n \"NoAutomatedResolution\",\n \"DeleteOnConflict\",\n \"TimeBasedResolution\"\n ],\n \"x-omitempty\": true\n }\n },\n \"description\": \"Configure how replication is executed in a cluster\"\n },\n \"invertedIndexConfig\": {\n \"type\": \"object\",\n \"properties\": {\n \"cleanupIntervalSeconds\": {\n \"type\": \"number\",\n \"description\": \"Asynchronous index clean up happens every n seconds (default: 60).\",\n \"format\": \"int\"\n },\n \"bm25\": {\n \"type\": \"object\",\n \"properties\": {\n \"k1\": {\n \"type\": \"number\",\n \"description\": \"Calibrates term-weight scaling based on the term frequency within a document (default: 1.2).\",\n \"format\": \"float\"\n },\n \"b\": {\n \"type\": \"number\",\n \"description\": \"Calibrates term-weight scaling based on the document length (default: 0.75).\",\n \"format\": \"float\"\n }\n },\n \"description\": \"Tuning parameters for the BM25 algorithm.\"\n },\n \"stopwords\": {\n \"type\": \"object\",\n \"properties\": {\n \"preset\": {\n \"type\": \"string\",\n \"description\": \"Pre-existing list of common words by language (default: `en`). Options: [`en`, `none`].\"\n },\n \"additions\": {\n \"type\": \"array\",\n \"description\": \"Stopwords to be considered additionally (default: []). Can be any array of custom strings.\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"removals\": {\n \"type\": \"array\",\n \"description\": \"Stopwords to be removed from consideration (default: []). Can be any array of custom strings.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n },\n \"description\": \"Fine-grained control over stopword list usage.\"\n },\n \"indexTimestamps\": {\n \"type\": \"boolean\",\n \"description\": \"Index each object by its internal timestamps (default: `false`).\"\n },\n \"indexNullState\": {\n \"type\": \"boolean\",\n \"description\": \"Index each object with the null state (default: `false`).\"\n },\n \"indexPropertyLength\": {\n \"type\": \"boolean\",\n \"description\": \"Index length of properties (default: `false`).\"\n },\n \"usingBlockMaxWAND\": {\n \"type\": \"boolean\",\n \"description\": \"Using BlockMax WAND for query execution (default: `false`, will be `true` for new collections created after 1.30).\"\n }\n },\n \"description\": \"Configure the inverted index built into Weaviate. See [Reference: Inverted index](https://docs.weaviate.io/weaviate/config-refs/indexing/inverted-index#inverted-index-parameters) for details.\"\n },\n \"multiTenancyConfig\": {\n \"type\": \"object\",\n \"properties\": {\n \"enabled\": {\n \"type\": \"boolean\",\n \"description\": \"Whether or not multi-tenancy is enabled for this collection (class) (default: `false`).\",\n \"x-omitempty\": false\n },\n \"autoTenantCreation\": {\n \"type\": \"boolean\",\n \"description\": \"Nonexistent tenants should (not) be created implicitly (default: `false`).\",\n \"x-omitempty\": false\n },\n \"autoTenantActivation\": {\n \"type\": \"boolean\",\n \"description\": \"Existing tenants should (not) be turned HOT implicitly when they are accessed and in another activity status (default: `false`).\",\n \"x-omitempty\": false\n }\n },\n \"description\": \"Configuration related to multi-tenancy within a collection (class)\"\n },\n \"vectorizer\": {\n \"type\": \"string\",\n \"description\": \"Specify how the vectors for this collection should be determined. The options are either `none` - this means you have to import a vector with each object yourself - or the name of a module that provides vectorization capabilities, such as `text2vec-weaviate`. If left empty, it will use the globally configured default ([`DEFAULT_VECTORIZER_MODULE`](https://docs.weaviate.io/deploy/configuration/env-vars)) which can itself either be `none` or a specific module.\"\n },\n \"moduleConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Configuration specific to modules in a collection context.\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"Description of the collection for metadata purposes.\"\n },\n \"properties\": {\n \"type\": \"array\",\n \"description\": \"Define properties of the collection.\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"dataType\": {\n \"type\": \"array\",\n \"description\": \"Data type of the property (required). If it starts with a capital (for example Person), may be a reference to another type.\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"Description of the property.\"\n },\n \"moduleConfig\": {\n \"type\": \"object\",\n \"properties\": {},\n \"description\": \"Configuration specific to modules in a collection context.\"\n },\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the property (required). Multiple words should be concatenated in camelCase, e.g. `nameOfAuthor`.\"\n },\n \"indexInverted\": {\n \"type\": \"boolean\",\n \"description\": \"(Deprecated). Whether to include this property in the inverted index. If `false`, this property cannot be used in `where` filters, `bm25` or `hybrid` search. <br/><br/>Unrelated to vectorization behavior (deprecated as of v1.19; use indexFilterable or/and indexSearchable instead)\",\n \"nullable\": true\n },\n \"indexFilterable\": {\n \"type\": \"boolean\",\n \"description\": \"Whether to include this property in the filterable, Roaring Bitmap index. If `false`, this property cannot be used in `where` filters. <br/><br/>Note: Unrelated to vectorization behavior.\",\n \"nullable\": true\n },\n \"indexSearchable\": {\n \"type\": \"boolean\",\n \"description\": \"Optional. Should this property be indexed in the inverted index. Defaults to true. Applicable only to properties of data type text and text[]. If you choose false, you will not be able to use this property in bm25 or hybrid search. This property has no affect on vectorization decisions done by modules\",\n \"nullable\": true\n },\n \"indexRangeFilters\": {\n \"type\": \"boolean\",\n \"description\": \"Whether to include this property in the filterable, range-based Roaring Bitmap index. Provides better performance for range queries compared to filterable index in large datasets. Applicable only to properties of data type int, number, date.\",\n \"nullable\": true\n },\n \"tokenization\": {\n \"type\": \"string\",\n \"description\": \"Determines how a property is indexed. This setting applies to `text` and `text[]` data types. The following tokenization methods are available:<br/><br/>- `word` (default): Splits the text on any non-alphanumeric characters and lowercases the tokens.<br/>- `lowercase`: Splits the text on whitespace and lowercases the tokens.<br/>- `whitespace`: Splits the text on whitespace. This tokenization is case-sensitive.<br/>- `field`: Indexes the entire property value as a single token after trimming whitespace.<br/>- `trigram`: Splits the property into rolling trigrams (three-character sequences).<br/>- `gse`: Uses the `gse` tokenizer, suitable for Chinese language text. [See `gse` docs](https://pkg.go.dev/github.com/go-ego/gse#section-readme).<br/>- `kagome_ja`: Uses the `Kagome` tokenizer with a Japanese (IPA) dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/>- `kagome_kr`: Uses the `Kagome` tokenizer with a Korean dictionary. [See `kagome` docs](https://github.com/ikawaha/kagome).<br/><br/>See [Reference: Tokenization](https://docs.weaviate.io/weaviate/config-refs/collections#tokenization) for details.\",\n \"enum\": [\n \"word\",\n \"lowercase\",\n \"whitespace\",\n \"field\",\n \"trigram\",\n \"gse\",\n \"kagome_kr\",\n \"kagome_ja\",\n \"gse_ch\"\n ]\n },\n \"nestedProperties\": {\n \"type\": \"array\",\n \"description\": \"The properties of the nested object(s). Applies to object and object[] data types.\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"dataType\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"description\": {\n \"type\": \"string\"\n },\n \"name\": {\n \"type\": \"string\"\n },\n \"indexFilterable\": {\n \"type\": \"boolean\",\n \"nullable\": true\n },\n \"indexSearchable\": {\n \"type\": \"boolean\",\n \"nullable\": true\n },\n \"indexRangeFilters\": {\n \"type\": \"boolean\",\n \"nullable\": true\n },\n \"tokenization\": {\n \"type\": \"string\",\n \"enum\": [\n \"word\",\n \"lowercase\",\n \"whitespace\",\n \"field\",\n \"trigram\",\n \"gse\",\n \"kagome_kr\",\n \"kagome_ja\",\n \"gse_ch\"\n ]\n },\n \"nestedProperties\": {\n \"type\": \"array\",\n \"description\": \"The properties of the nested object(s). Applies to object and object[] data types.\",\n \"items\": {\n \"$ref\": \"#/components/schemas/NestedProperty\",\n \"has_circular_reference\": true\n },\n \"x-omitempty\": true\n }\n }\n },\n \"x-omitempty\": true\n }\n }\n }\n }\n }\n }\n }\n },\n \"required\": true\n}",
|
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"use_request_body_schema_mode": true,
|
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"validate_request_body_schema": false
|
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}
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}
|