Initial public ModelForge release
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capability: rag.embedding
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version: 1
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description: Multilingual text embeddings for semantic retrieval.
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input_schema:
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type: object
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additionalProperties: false
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required: [input]
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properties:
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input:
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oneOf:
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- {type: string, minLength: 1, maxLength: 8192}
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- {type: array, items: {type: string, minLength: 1, maxLength: 8192}, minItems: 1, maxItems: 8}
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output_schema:
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type: object
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additionalProperties: false
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required: [vectors, dimension, normalized, embedding_space_id]
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properties:
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vectors: {type: array, minItems: 1, maxItems: 8, items: {type: array, minItems: 1024, maxItems: 1024, items: {type: number}}}
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dimension: {const: 1024}
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normalized: {const: true}
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embedding_space_id: {type: string, format: uuid}
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modalities: {input: [text], output: [vector]}
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languages: [nl, en]
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vector: {dimensionality: 1024, normalized: true, cross_deployment_compatible: false}
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slo: {latency_p95_ms: 15000, availability_percent: 99.0, max_concurrency: 1}
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quality_metrics: [recall_at_5, recall_at_10, mrr, ndcg_at_10]
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upgrade_class: requires_reindex
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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: keep_warm
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estate:
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category: RAG
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purpose: Multilingual semantic retrieval for local knowledge projects.
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stability: stable
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resource_class: MEDIUM
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evaluation_type: retrieval
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consumers: [examplerag, portfolio-assistant]
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payload_limits: {max_bytes: 65536, max_batch_count: 8}
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