Macrometa Embeddings API
The Embeddings API from Macrometa — 3 operation(s) for embeddings.
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OpenAPI Specification
openapi: 3.2.0
info:
title: Macrometa API Reference Activity Metrics Embeddings API
version: 0.17.17
description: API reference for the Macrometa Global Data Network.
license:
name: Macrometa License, Version 2.0
servers:
- url: https://api-play.paas.macrometa.io
description: GDN API
host: api-play.paas.macrometa.io
security:
- ApiKeyAuth: []
- BearerAuth: []
tags:
- name: Embeddings
paths:
/api/hss/v1/embeddings/text:
post:
tags:
- Embeddings
summary: Get text embeddings
operationId: get_text_embeddings_api_hss_v1_embeddings_text_post
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/TextEmbeddingRequest'
required: true
responses:
'200':
description: Successfully returned embeddings.
content:
application/json:
schema:
items:
items:
type: number
type: array
type: array
title: Response getTextEmbeddings
example:
- - 1.1
- 2.2
- - 4.99
- 8.14
'400':
description: 'Error: Bad request.'
content:
application/json:
example:
detail: Invalid model name.
'401':
description: 'Error: Unauthorized.'
content:
application/json:
example:
detail: Unauthorized.
'422':
description: 'Error: Unprocessable entity.'
content:
application/json:
example:
detail:
- type: json_invalid
loc:
- body
- 72
msg: JSON decode error
input: {}
ctx:
error: Expecting ',' delimiter
'500':
description: 'Error: Internal server error.'
content:
application/json:
example:
message: Unable to load module.
security:
- APIKeyHeader: []
/api/hss/v1/embeddings/image:
post:
tags:
- Embeddings
summary: Get image embeddings
operationId: get_image_embeddings_api_hss_v1_embeddings_image_post
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/ImageEmbeddingRequest'
required: true
responses:
'200':
description: Successfully returned embeddings.
content:
application/json:
schema:
items:
items:
type: number
type: array
type: array
title: Response getImageEmbeddings
example:
- - 1.1
- 2.2
- - 4.99
- 8.14
'400':
description: 'Error: Bad request.'
content:
application/json:
example:
detail: Invalid model name.
'401':
description: 'Error: Unauthorized.'
content:
application/json:
example:
detail: Unauthorized.
'422':
description: 'Error: Unprocessable entity.'
content:
application/json:
example:
detail:
- type: json_invalid
loc:
- body
- 72
msg: JSON decode error
input: {}
ctx:
error: Expecting ',' delimiter
'500':
description: 'Error: Internal server error.'
content:
application/json:
example:
message: Unable to load module.
security:
- APIKeyHeader: []
/api/hss/v1/embeddings/multimodal:
post:
tags:
- Embeddings
summary: Get multimodal embeddings
operationId: get_multimodal_embeddings_api_hss_v1_embeddings_multimodal_post
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/MultiModalEmbeddingRequest'
required: true
responses:
'200':
description: Successfully returned embeddings.
content:
application/json:
schema:
items:
items:
type: number
type: array
type: array
title: Response getMultimodelEmbeddings
example:
- - 1.1
- 2.2
- - 4.99
- 8.14
'400':
description: 'Error: Bad request.'
content:
application/json:
example:
detail: Invalid model name.
'401':
description: 'Error: Unauthorized.'
content:
application/json:
example:
detail: Unauthorized.
'422':
description: 'Error: Unprocessable entity.'
content:
application/json:
example:
detail:
- type: json_invalid
loc:
- body
- 72
msg: JSON decode error
input: {}
ctx:
error: Expecting ',' delimiter
'500':
description: 'Error: Internal server error.'
content:
application/json:
example:
message: Unable to load module.
security:
- APIKeyHeader: []
components:
schemas:
MultiModalEmbeddingRequest:
properties:
data:
items:
$ref: '#/components/schemas/MultiModalRequestData'
type: array
title: Data
description: Multi model input definition.
model_name:
type: string
title: Model Name
description: The name of the model to use for generating embeddings.
examples:
- open_clip/ViT-L-14/laion2b_s32b_b82k
type: object
required:
- data
- model_name
title: MultiModalEmbeddingRequest
TextEmbeddingRequest:
properties:
strings:
items:
type: string
type: array
title: Strings
description: The text strings for which to generate embeddings.
examples:
- - did you see
- a man wearing a red hat
model_name:
type: string
title: Model Name
description: The name of the model to use for generating embeddings.
examples:
- sentence-transformers/all-MiniLM-L6-v2
type: object
required:
- strings
- model_name
title: TextEmbeddingRequest
MultiModalRequestData:
properties:
text:
type: string
title: Text
description: The text string for which to generate embedding.
examples:
- two sleeping cats
image_url:
type: string
title: Image Url
description: The url of image for which to generate embedding.
examples:
- http://images.cocodataset.org/val2017/000000039769.jpg
type: object
required:
- text
- image_url
title: MultiModalRequestData
ImageEmbeddingRequest:
properties:
urls:
items:
type: string
type: array
title: Urls
description: The urls of images for which to generate embeddings.
examples:
- - http://images.cocodataset.org/val2017/000000039769.jpg
model_name:
type: string
title: Model Name
description: The name of the model to use for generating embeddings.
examples:
- laion/CLIP-ViT-B-32-laion2B-s34B-b79K
type: object
required:
- urls
- model_name
title: ImageEmbeddingRequest
securitySchemes:
ApiKeyAuth:
type: apiKey
in: header
name: Authorization
description: 'Provide an API Key to the `Authorization` header, prefixed with "apikey".
Example: `Authorization: apikey <key>`'
BearerAuth:
type: http
scheme: bearer
bearerFormat: JWT
description: 'Provide a JSON Web Token (JWT) to the `Authorization` header, prefixed with "bearer".
Example: `Authorization: bearer <jwt>`'