Initial public ModelForge release
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capability: rag.reranking
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version: 1
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description: Second-stage ranking of retrieved text candidates.
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input_schema:
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type: object
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additionalProperties: false
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required: [query, documents, top_n]
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properties:
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query: {type: string, minLength: 1, maxLength: 4000}
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documents:
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type: array
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minItems: 1
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maxItems: 40
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items:
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type: object
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additionalProperties: false
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required: [id, text]
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properties:
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id: {type: string, minLength: 1, maxLength: 255}
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text: {type: string, minLength: 1, maxLength: 16384}
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top_n: {type: integer, minimum: 1, maximum: 10}
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output_schema:
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type: object
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additionalProperties: false
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required: [results]
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properties:
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results:
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type: array
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maxItems: 10
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items:
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type: object
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additionalProperties: false
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required: [id, score, rank]
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properties:
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id: {type: string}
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score: {type: number}
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rank: {type: integer, minimum: 1, maximum: 10}
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modalities: {input: [text], output: [score]}
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languages: [nl, en]
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quality_metrics: [mrr, ndcg_at_10, ranking_accuracy]
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upgrade_class: behavioral
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: confidential, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: production
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default_residency: load_on_demand
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estate:
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category: RAG
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purpose: Evidence-gated second-stage ranking for retrieval pipelines.
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stability: experimental
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resource_class: MEDIUM
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evaluation_type: retrieval
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consumers: [examplerag]
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payload_limits: {max_bytes: 262144, max_batch_count: 40}
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