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https://github.com/trustgraph-ai/trustgraph.git
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4bbc6d844f
* Added row embeddings API and CLI support * Updated protocol specs * Row embeddings agent tool * Add new agent tool to CLI
39 lines
960 B
YAML
39 lines
960 B
YAML
type: object
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description: |
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Row embeddings query request - find similar rows by vector similarity on indexed fields.
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Enables semantic/fuzzy matching on structured data.
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required:
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- vectors
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- schema_name
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properties:
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vectors:
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type: array
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description: Query embedding vector
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items:
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type: number
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example: [0.023, -0.142, 0.089, 0.234, -0.067, 0.156]
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schema_name:
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type: string
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description: Schema name to search within
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example: customers
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index_name:
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type: string
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description: Optional index name to filter search to specific index
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example: full_name
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limit:
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type: integer
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description: Maximum number of matches to return
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default: 10
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minimum: 1
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maximum: 1000
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example: 20
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user:
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type: string
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description: User identifier
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default: trustgraph
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example: alice
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collection:
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type: string
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description: Collection to search
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default: default
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example: sales
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