openapi: 3.0.3
info:
  title: Pinecone Data Plane API
  description: Pinecone is a vector database that makes it easy to search and retrieve billions of high-dimensional vectors.
  contact:
    name: Pinecone Support
    url: https://support.pinecone.io
    email: support@pinecone.io
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0
  version: 2024-10
servers:
- url: https://{index_host}
  variables:
    index_host:
      default: unknown
      description: host of the index
paths:
  /bulk/imports:
    get:
      tags:
      - Bulk Operations
      summary: List imports
      description: |-
        The `list_imports` operation lists all recent and ongoing import operations. 

        By default, `list_imports` returns up to 100 imports per page. If the `limit` parameter is set, `list` returns up to that number of imports instead. Whenever there are additional IDs to return, the response also includes a `pagination_token` that you can use to get the next batch of imports. When the response does not include a `pagination_token`, there are no more imports to return.

        For guidance and examples, see [Import data](https://docs.pinecone.io/guides/index-data/import-data).
      operationId: listBulkImports
      parameters:
      - in: query
        name: limit
        description: Max number of operations to return per page.
        schema:
          default: '100'
          type: integer
          format: int32
          minimum: 1
          maximum: 100
        example: 10
        style: form
      - in: query
        name: paginationToken
        description: Pagination token to continue a previous listing operation.
        schema:
          type: string
        style: form
      responses:
        '200':
          description: A list of import operations
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ListImportsResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
    post:
      tags:
      - Bulk Operations
      summary: Start import
      description: |-
        The `start_import` operation starts an asynchronous import of vectors from object storage into an index. 
        
        For guidance and examples, see [Import data](https://docs.pinecone.io/guides/index-data/import-data).
      operationId: startBulkImport
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/StartImportRequest'
        required: true
      responses:
        '200':
          description: Successful import operation
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/StartImportResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /bulk/imports/{id}:
    get:
      tags:
      - Bulk Operations
      summary: Describe an import
      description: |-
        The `describe_import` operation returns details of a specific import operation. 
        
        For guidance and examples, see [Import data](https://docs.pinecone.io/guides/index-data/import-data).
      operationId: describeBulkImport
      parameters:
      - in: path
        name: id
        required: true
        schema:
          type: string
          minLength: 1
          maxLength: 1000
        example: '101'
        style: simple
      responses:
        '200':
          description: Details of the import operation
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ImportModel'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
    delete:
      tags:
      - Bulk Operations
      summary: Cancel an import
      description: |-
        The `cancel_import` operation cancels an import operation if it is not yet finished. It has no effect if the operation is already finished. 
        
        For guidance and examples, see [Import data](https://docs.pinecone.io/guides/index-data/import-data).
      operationId: cancelBulkImport
      parameters:
      - in: path
        name: id
        required: true
        description: Unique identifier for the import operation.
        schema:
          type: string
          minLength: 1
          maxLength: 1000
        example: '101'
        style: simple
      responses:
        '200':
          description: Operation cancelled successfully
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/CancelImportResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /describe_index_stats:
    post:
      tags:
      - Vector Operations
      summary: Get index stats
      description: |-
        The `describe_index_stats` operation returns statistics about the contents of an index, including the vector count per namespace, the number of dimensions, and the index fullness.

        Serverless indexes scale automatically as needed, so index fullness is relevant only for pod-based indexes.
      operationId: describeIndexStats
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/DescribeIndexStatsRequest'
        required: true
      responses:
        '200':
          description: A successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/IndexDescription'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /query:
    post:
      tags:
      - Vector Operations
      summary: Search with a vector
      description: |-
        The `query` operation searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores.

        For guidance, examples, and limits, see [Search](https://docs.pinecone.io/guides/search/search-overview).
      operationId: queryVectors
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/QueryRequest'
        required: true
      responses:
        '200':
          description: A successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/QueryResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /vectors/delete:
    post:
      tags:
      - Vector Operations
      summary: Delete vectors
      description: |-
        The `delete` operation deletes vectors, by id, from a single namespace.

        For guidance and examples, see [Delete data](https://docs.pinecone.io/guides/manage-data/delete-data).
      operationId: deleteVectors
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/DeleteRequest'
        required: true
      responses:
        '200':
          description: A successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DeleteResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /vectors/fetch:
    get:
      tags:
      - Vector Operations
      summary: Fetch vectors
      description: |-
        The `fetch` operation looks up and returns vectors, by ID, from a single namespace. The returned vectors include the vector data and/or metadata.

        For on-demand indexes, since vector values are retrieved from object storage, fetch operations may have increased latency. If you only need metadata or IDs, consider using the query operation with `includeValues` set to `false` instead.

        For guidance and examples, see [Fetch data](https://docs.pinecone.io/guides/manage-data/fetch-data).
      operationId: fetchVectors
      parameters:
      - in: query
        name: ids
        description: The vector IDs to fetch. Does not accept values containing spaces.
        required: true
        schema:
          type: array
          items:
            type: string
        explode: true
        style: form
      - in: query
        name: namespace
        schema:
          type: string
        style: form
      responses:
        '200':
          description: A successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/FetchResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /vectors/list:
    get:
      tags:
      - Vector Operations
      summary: List vector IDs
      description: |-
        The `list` operation lists the IDs of vectors in a single namespace of a serverless index. An optional prefix can be passed to limit the results to IDs with a common prefix.

        By default, `list` returns up to 100 IDs per page in sorted order (bitwise "C" collation). If the `limit` parameter is set, `list` returns up to that number of IDs instead. Whenever there are additional IDs to return, the response also includes a `pagination_token` that you can use to get the next batch of IDs. When the response does not include a `pagination_token`, there are no more IDs to return.

        For guidance and examples, see [List record IDs](https://docs.pinecone.io/guides/manage-data/list-record-ids).

        **Note:** `list_vectors` is supported only for serverless indexes.
      operationId: listVectors
      parameters:
      - in: query
        name: prefix
        description: The vector IDs to fetch. Does not accept values containing spaces.
        schema:
          type: string
        style: form
      - in: query
        name: limit
        description: Max number of IDs to return per page.
        schema:
          default: '100'
          type: integer
          format: int64
        style: form
      - in: query
        name: paginationToken
        description: Pagination token to continue a previous listing operation.
        schema:
          type: string
        style: form
      - in: query
        name: namespace
        schema:
          type: string
        style: form
      responses:
        '200':
          description: A successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ListResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /vectors/update:
    post:
      tags:
      - Vector Operations
      summary: Update a vector
      description: |-
        The `update` operation updates a vector in a namespace. If a value is included, it will overwrite the previous value. If a `set_metadata` is included, the values of the fields specified in it will be added or overwrite the previous value.

        For guidance and examples, see [Update data](https://docs.pinecone.io/guides/manage-data/update-data).
      operationId: updateVector
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/UpdateRequest'
        required: true
      responses:
        '200':
          description: A successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/UpdateResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
  /vectors/upsert:
    post:
      tags:
      - Vector Operations
      summary: Upsert vectors
      description: |-
        The `upsert` operation writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value.

        For guidance, examples, and limits, see [Upsert data](https://docs.pinecone.io/guides/index-data/upsert-data).
      operationId: upsertVectors
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/UpsertRequest'
        required: true
      responses:
        '200':
          description: A successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/UpsertResponse'
        '400':
          description: Bad request. The request body included invalid request parameters.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '4XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
        '5XX':
          description: An unexpected error response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/rpcStatus'
components:
  schemas:
    StartImportRequest:
      description: The request for the `start_import` operation.
      type: object
      required:
      - uri
      properties:
        integrationId:
          description: The id of the [storage integration](https://docs.pinecone.io/guides/operations/integrations/manage-storage-integrations) that should be used to access the data.
          type: string
          maxLength: 1000
        uri:
          type: string
          description: The [URI prefix](https://docs.pinecone.io/guides/index-data/import-data#prepare-your-data) under which the data to import is available. All data within this prefix will be listed then imported into the target index. Currently only `s3://` URIs are supported.
          minLength: 1
          maxLength: 1500
        errorMode:
          $ref: '#/components/schemas/ImportErrorMode'
    ImportErrorMode:
      description: Indicates how to respond to errors during the import process.
      type: object
      properties:
        onError:
          description: Indicates how to respond to errors during the import process.
          type: string
          enum:
          - abort
          - continue
    StartImportResponse:
      description: The response for the `start_import` operation.
      type: object
      properties:
        id:
          example: '101'
          description: Unique identifier for the import operation.
          type: string
          minLength: 1
          maxLength: 1000
    CancelImportResponse:
      description: The response for the `cancel_import` operation.
      type: object
    ImportModel:
      description: The model for an import operation.
      type: object
      properties:
        id:
          example: '101'
          description: Unique identifier for the import operation.
          type: string
          minLength: 1
          maxLength: 1000
        uri:
          description: The URI from where the data is imported.
          type: string
        status:
          example: Pending
          description: The status of the operation.
          type: string
          enum:
          - Pending
          - InProgress
          - Failed
          - Completed
          - Cancelled
        createdAt:
          description: The start time of the import operation.
          type: string
          format: date-time
        finishedAt:
          description: The end time of the import operation.
          type: string
          format: date-time
        percentComplete:
          example: 42.2
          description: The progress made by the operation, as a percentage.
          type: number
          format: float
          minimum: 0.0
          maximum: 100.0
        recordsImported:
          example: 1000000
          description: The number of records successfully imported.
          type: integer
          format: int64
        error:
          description: The error message if the import process failed.
          type: string
    ListImportsResponse:
      description: The response for the `list_imports` operation.
      type: object
      properties:
        data:
          type: array
          items:
            $ref: '#/components/schemas/ImportModel'
        pagination:
          $ref: '#/components/schemas/Pagination'
    DeleteRequest:
      description: The request for the `delete` operation.
      type: object
      properties:
        ids:
          example:
          - id-0
          - id-1
          description: Vectors to delete.
          type: array
          items:
            type: string
          minLength: 1
          maxLength: 1000
        deleteAll:
          example: false
          description: This indicates that all vectors in the index namespace should be deleted.
          default: 'false'
          type: boolean
        namespace:
          example: example-namespace
          description: The namespace to delete vectors from, if applicable.
          type: string
        filter:
          description: |-
            If specified, the metadata filter here will be used to select the vectors to delete. This is mutually exclusive with specifying ids to delete in the ids param or using delete_all=True. See [Delete data](https://docs.pinecone.io/guides/manage-data/delete-data#delete-records-by-metadata).
          type: object
    DeleteResponse:
      description: The response for the `delete` operation.
      type: object
    DescribeIndexStatsRequest:
      description: The request for the `describe_index_stats` operation.
      type: object
      properties:
        filter:
          description: |-
            If this parameter is present, the operation only returns statistics for vectors that satisfy the filter. See [Understanding metadata](https://docs.pinecone.io/guides/index-data/indexing-overview#metadata).

            Serverless indexes do not support filtering `describe_index_stats` by metadata.
          type: object
    IndexDescription:
      example:
        dimension: 1024
        index_fullness: 0.4
        namespaces:
          '':
            vectorCount: 50000
          example-namespace-2:
            vectorCount: 30000
        totalVectorCount: 80000
      description: The response for the `describe_index_stats` operation.
      type: object
      properties:
        namespaces:
          description: A mapping for each namespace in the index from the namespace name to a summary of its contents. If a metadata filter expression is present, the summary will reflect only vectors matching that expression.
          type: object
          additionalProperties:
            $ref: '#/components/schemas/NamespaceSummary'
        dimension:
          example: 1024
          description: The dimension of the indexed vectors.
          type: integer
          format: int64
        indexFullness:
          example: 0.4
          description: |-
            The fullness of the index, regardless of whether a metadata filter expression was passed. The granularity of this metric is 10%.

            Serverless indexes scale automatically as needed, so index fullness  is relevant only for pod-based indexes.

            The index fullness result may be inaccurate during pod resizing; to get the status of a pod resizing process, use [`describe_index`](https://docs.pinecone.io/reference/api/2024-10/control-plane/describe_index).
          type: number
          format: float
        totalVectorCount:
          example: 80000
          description: The total number of vectors in the index, regardless of whether a metadata filter expression was passed
          type: integer
          format: int64
    FetchResponse:
      example:
        namespace: example-namespace
        usage:
          readUnits: 1
        vectors:
          id-1:
            id: id-1
            values:
            - 1.0
            - 1.5
          id-2:
            id: id-2
            values:
            - 2.0
            - 1.0
      description: The response for the `fetch` operation.
      type: object
      properties:
        vectors:
          title: The fetched vectors, in the form of a map between the fetched ids and the fetched vectors
          type: object
          additionalProperties:
            $ref: '#/components/schemas/Vector'
        namespace:
          example: example-namespace
          description: The namespace of the vectors.
          type: string
        usage:
          $ref: '#/components/schemas/Usage'
    ListItem:
      type: object
      properties:
        id:
          example: document1#abb
          type: string
    ListResponse:
      description: The response for the `list` operation.
      type: object
      properties:
        vectors:
          example:
          - id: document1#abb
          - id: document1#abc
          title: A list of ids
          type: array
          items:
            $ref: '#/components/schemas/ListItem'
        pagination:
          $ref: '#/components/schemas/Pagination'
        namespace:
          example: example-namespace
          description: The namespace of the vectors.
          type: string
        usage:
          $ref: '#/components/schemas/Usage'
    NamespaceSummary:
      description: A summary of the contents of a namespace.
      type: object
      properties:
        vectorCount:
          example: 50000
          description: The number of vectors stored in this namespace. Note that updates to this field may lag behind updates to the underlying index and corresponding query results, etc.
          type: integer
          format: int64
    Pagination:
      type: object
      properties:
        next:
          example: Tm90aGluZyB0byBzZWUgaGVyZQo=
          type: string
    QueryRequest:
      description: The request for the `query` operation.
      type: object
      properties:
        namespace:
          example: example-namespace
          description: The namespace to query.
          type: string
        topK:
          example: 10
          description: The number of results to return for each query.
          type: integer
          minimum: 1.0
          maximum: 10000.0
          required:
          - top_k
          format: int64
        filter:
          example:
            genre:
              $in:
              - comedy
              - documentary
              - drama
            year:
              $eq: 2019
          description: The filter to apply. You can use vector metadata to limit your search. See [Understanding metadata](https://docs.pinecone.io/guides/index-data/indexing-overview#metadata).
          type: object
        includeValues:
          example: true
          description: >-
            Indicates whether vector values are included in the response.
            For on-demand indexes, setting this to `true` may increase latency, especially with higher `topK` values, because vector values are retrieved from object storage. Unless you need vector values, set this to `false` for better performance.
          default: 'false'
          type: boolean
        includeMetadata:
          example: true
          description: Indicates whether metadata is included in the response as well as the ids.
          default: 'false'
          type: boolean
        queries:
          deprecated: true
          description: DEPRECATED. Use `vector` or `id` instead.
          type: array
          items:
            $ref: '#/components/schemas/QueryVector'
          minLength: 1
          maxLength: 10
        vector:
          example:
          - 0.1
          - 0.2
          - 0.3
          - 0.4
          - 0.5
          - 0.6
          - 0.7
          - 0.8
          description: The query vector. This should be the same length as the dimension of the index being queried. Each request can contain either the `id` or `vector` parameter.
          type: array
          items:
            type: number
            format: float
          minLength: 1
          maxLength: 20000
        sparseVector:
          $ref: '#/components/schemas/SparseValues'
        id:
          example: example-vector-1
          description: The unique ID of the vector to be used as a query vector. Each request can contain either the `vector` or `id` parameter.
          type: string
          maxLength: 512
      required:
      - topK
    QueryResponse:
      description: The response for the `query` operation. These are the matches found for a particular query vector. The matches are ordered from most similar to least similar.
      type: object
      properties:
        results:
          deprecated: true
          description: DEPRECATED. The results of each query. The order is the same as `QueryRequest.queries`.
          type: array
          items:
            $ref: '#/components/schemas/SingleQueryResults'
        matches:
          description: The matches for the vectors.
          type: array
          items:
            $ref: '#/components/schemas/ScoredVector'
        namespace:
          description: The namespace for the vectors.
          type: string
        usage:
          $ref: '#/components/schemas/Usage'
    QueryVector:
      deprecated: true
      description: A single query vector within a `QueryRequest`.
      type: object
      properties:
        values:
          example:
          - 0.1
          - 0.2
          - 0.3
          - 0.4
          - 0.5
          - 0.6
          - 0.7
          - 0.8
          description: The query vector values. This should be the same length as the dimension of the index being queried.
          type: array
          required:
          - values
          items:
            type: number
            format: float
          minLength: 1
          maxLength: 20000
        sparseValues:
          $ref: '#/components/schemas/SparseValues'
        topK:
          example: 10
          description: An override for the number of results to return for this query vector.
          type: integer
          format: int64
          minimum: 1
          maximum: 10000
        namespace:
          example: example-namespace
          description: An override the namespace to search.
          type: string
        filter:
          example:
            genre:
              $in:
              - comedy
              - documentary
              - drama
            year:
              $eq: 2019
          description: An override for the metadata filter to apply. This replaces the request-level filter.
          type: object
      required:
      - values
    ScoredVector:
      type: object
      properties:
        id:
          example: example-vector-1
          description: This is the vector's unique id.
          type: string
          required:
          - id
          minLength: 1
          maxLength: 512
        score:
          example: 0.08
          description: This is a measure of similarity between this vector and the query vector.  The higher the score, the more they are similar.
          type: number
          format: float
        values:
          example:
          - 0.1
          - 0.2
          - 0.3
          - 0.4
          - 0.5
          - 0.6
          - 0.7
          - 0.8
          description: This is the vector data, if it is requested.
          type: array
          items:
            type: number
            format: float
        sparseValues:
          $ref: '#/components/schemas/SparseValues'
        metadata:
          example:
            genre: documentary
            year: 2019
          description: This is the metadata, if it is requested.
          type: object
      required:
      - id
    SingleQueryResults:
      title: The query results for a single `QueryVector`
      type: object
      properties:
        matches:
          description: The matches for the vectors.
          type: array
          items:
            $ref: '#/components/schemas/ScoredVector'
        namespace:
          example: example-namespace
          description: The namespace for the vectors.
          type: string
    SparseValues:
      description: Vector sparse data. Represented as a list of indices and a list of  corresponded values, which must be with the same length.
      type: object
      properties:
        indices:
          example:
          - 1
          - 312
          - 822
          - 14
          - 980
          description: The indices of the sparse data.
          type: array
          required:
          - indices
          items:
            type: integer
            format: int64
          minLength: 1
          maxLength: 1000
        values:
          example:
          - 0.1
          - 0.2
          - 0.3
          - 0.4
          - 0.5
          description: The corresponding values of the sparse data, which must be with the same length as the indices.
          type: array
          required:
          - values
          items:
            type: number
            format: float
          minLength: 1
          maxLength: 1000
      required:
      - indices
      - values
    UpdateRequest:
      description: The request for the `update` operation.
      type: object
      properties:
        id:
          example: example-vector-1
          description: Vector's unique id.
          type: string
          required:
          - id
          minLength: 1
          maxLength: 512
        values:
          example:
          - 0.1
          - 0.2
          - 0.3
          - 0.4
          - 0.5
          - 0.6
          - 0.7
          - 0.8
          description: Vector data.
          type: array
          items:
            type: number
            format: float
          minLength: 1
          maxLength: 20000
        sparseValues:
          $ref: '#/components/schemas/SparseValues'
        setMetadata:
          example:
            genre: documentary
            year: 2019
          description: Metadata to set for the vector.
          type: object
        namespace:
          example: example-namespace
          description: The namespace containing the vector to update.
          type: string
      required:
      - id
    UpdateResponse:
      description: The response for the `update` operation.
      type: object
    UpsertRequest:
      description: The request for the `upsert` operation.
      type: object
      properties:
        vectors:
          description: An array containing the vectors to upsert. Recommended batch limit is up to 1000 vectors.
          type: array
          required:
          - vectors
          items:
            $ref: '#/components/schemas/Vector'
          minLength: 1
          maxLength: 1000
        namespace:
          example: example-namespace
          description: The namespace where you upsert vectors.
          type: string
      required:
      - vectors
    UpsertResponse:
      description: The response for the `upsert` operation.
      type: object
      properties:
        upsertedCount:
          example: 2
          description: The number of vectors upserted.
          type: integer
          format: int64
    Usage:
      type: object
      properties:
        readUnits:
          example: 5
          description: The number of read units consumed by this operation.
          type: integer
          format: int64
    Vector:
      type: object
      properties:
        id:
          example: example-vector-1
          description: This is the vector's unique id.
          type: string
          required:
          - id
          minLength: 1
          maxLength: 512
        values:
          example:
          - 0.1
          - 0.2
          - 0.3
          - 0.4
          - 0.5
          - 0.6
          - 0.7
          - 0.8
          description: This is the vector data included in the request.
          type: array
          required:
          - values
          items:
            type: number
            format: float
          minLength: 1
          maxLength: 20000
        sparseValues:
          $ref: '#/components/schemas/SparseValues'
        metadata:
          example:
            genre: documentary
            year: 2019
          description: This is the metadata included in the request.
          type: object
      required:
      - id
      - values
    protobufAny:
      type: object
      properties:
        typeUrl:
          type: string
        value:
          type: string
          format: byte
    protobufNullValue:
      description: |-
        `NullValue` is a singleton enumeration to represent the null value for the `Value` type union.
        The JSON representation for `NullValue` is JSON `null`.
      default: NULL_VALUE
      type: string
      enum:
      - NULL_VALUE
    rpcStatus:
      type: object
      properties:
        code:
          type: integer
          format: int32
        message:
          type: string
        details:
          type: array
          items:
            $ref: '#/components/schemas/protobufAny'
  securitySchemes:
    ApiKeyAuth:
      type: apiKey
      in: header
      name: Api-Key
      description: An API Key is required to call Pinecone APIs. Get yours from the [console](https://app.pinecone.io/).
security:
- ApiKeyAuth: []
tags:
- name: Vector Operations
- name: Bulk Operations
externalDocs:
  description: More Pinecone.io API docs
  url: https://docs.pinecone.io/introduction