# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Appwrite Embeddings API
  version: 1.0.0
extends: openapi/appwrite-embeddings-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 1
- target: $.paths['/embeddings/text'].post
  update:
    x-apievangelist-phrasing:
      intent: Generate vector embeddings for text
      effect: write
      questions:
      - How do I turn text into vector embeddings for semantic search?
      - Can I choose which embedding model is used?
      - Can I embed several pieces of text in a single request?
      instructions:
      - text: Generate embeddings for {texts}.
        slots:
          texts: requestBody.texts
      - text: Embed {texts} using the {model} model.
        slots:
          texts: requestBody.texts
          model: requestBody.model
      method: generated
      generated: '2026-09-26'