type: object
description: |
  Row embeddings query request - find similar rows by vector similarity on indexed fields.
  Enables semantic/fuzzy matching on structured data.
required:
  - vectors
  - schema_name
properties:
  vectors:
    type: array
    description: Query embedding vector
    items:
      type: number
    example: [0.023, -0.142, 0.089, 0.234, -0.067, 0.156]
  schema_name:
    type: string
    description: Schema name to search within
    example: customers
  index_name:
    type: string
    description: Optional index name to filter search to specific index
    example: full_name
  limit:
    type: integer
    description: Maximum number of matches to return
    default: 10
    minimum: 1
    maximum: 1000
    example: 20
  user:
    type: string
    description: User identifier
    default: trustgraph
    example: alice
  collection:
    type: string
    description: Collection to search
    default: default
    example: sales