trustgraph/specs/api/components/schemas/embeddings-query/RowEmbeddingsQueryRequest.yaml

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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