Weaviate · Schema

Class

Weaviate Class schema

Vector DatabaseArtificial IntelligenceMachine-LearningSemantic SearchOpen-SourceGraphQLKubernetes

Properties

Name Type Description
class string Name of the collection (formerly 'class') (required). Multiple words should be concatenated in CamelCase, e.g. `ArticleAuthor`.
vectorConfig object Configure named vectors. Either use this field or `vectorizer`, `vectorIndexType`, and `vectorIndexConfig` fields. Available from `v1.24.0`.
vectorIndexType string Name of the vector index type to use for the collection (e.g. `hnsw` or `flat`).
vectorIndexConfig object Vector-index config, that is specific to the type of index selected in vectorIndexType
shardingConfig object Manage how the index should be sharded and distributed in the cluster
replicationConfig object
invertedIndexConfig object
multiTenancyConfig object
objectTtlConfig object
vectorizer string 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 provid
moduleConfig object Configuration specific to modules in a collection context.
description string Description of the collection for metadata purposes.
properties array Define properties of the collection.
View JSON Schema on GitHub

JSON Schema

weaviate-class-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://api-evangelist.github.io/weaviate/json-schema/weaviate-class-schema.json",
  "title": "Class",
  "description": "Weaviate Class schema",
  "type": "object",
  "properties": {
    "class": {
      "type": "string",
      "description": "Name of the collection (formerly 'class') (required). Multiple words should be concatenated in CamelCase, e.g. `ArticleAuthor`."
    },
    "vectorConfig": {
      "type": "object",
      "description": "Configure named vectors. Either use this field or `vectorizer`, `vectorIndexType`, and `vectorIndexConfig` fields. Available from `v1.24.0`.",
      "additionalProperties": {
        "$ref": "#/components/schemas/VectorConfig"
      }
    },
    "vectorIndexType": {
      "type": "string",
      "description": "Name of the vector index type to use for the collection (e.g. `hnsw` or `flat`)."
    },
    "vectorIndexConfig": {
      "type": "object",
      "description": "Vector-index config, that is specific to the type of index selected in vectorIndexType"
    },
    "shardingConfig": {
      "type": "object",
      "description": "Manage how the index should be sharded and distributed in the cluster"
    },
    "replicationConfig": {
      "$ref": "#/components/schemas/ReplicationConfig"
    },
    "invertedIndexConfig": {
      "$ref": "#/components/schemas/InvertedIndexConfig"
    },
    "multiTenancyConfig": {
      "$ref": "#/components/schemas/MultiTenancyConfig"
    },
    "objectTtlConfig": {
      "$ref": "#/components/schemas/ObjectTtlConfig"
    },
    "vectorizer": {
      "type": "string",
      "description": "Specify how the vectors for this collection should be determined. The options are either `none` - this means you have to import a vector with each object yourself - or the name of a module that provides vectorization capabilities, such as `text2vec-weaviate`. If left empty, it will use the globally configured default ([`DEFAULT_VECTORIZER_MODULE`](https://docs.weaviate.io/deploy/configuration/env-vars)) which can itself either be `none` or a specific module."
    },
    "moduleConfig": {
      "type": "object",
      "description": "Configuration specific to modules in a collection context."
    },
    "description": {
      "type": "string",
      "description": "Description of the collection for metadata purposes."
    },
    "properties": {
      "type": "array",
      "description": "Define properties of the collection.",
      "items": {
        "$ref": "#/components/schemas/Property"
      }
    }
  }
}

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