slug: nuclia
provider: Nuclia
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 2
edges:
- tag: Predict
  spec_file: nuclia-predict-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /v1/predict/chat  Predict - generative chat; GET /v1/predict/sentence  Predict - embed
    sentence; GET /v1/predict/models  Predict - list models
  reason: These are direct model-inference endpoints — generation, embedding, tokenization/NER, reranking
    and model listing — i.e. operation of AI/ML models, squarely Artificial Intelligence Management.
- tag: Ask
  spec_file: nuclia-ask-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: 'POST /v1/kb/{kbid}/ask  Ask a Knowledge Box (RAG generative answer); schemas: AskRequest,
    AskResponse'
  reason: Generative grounded-answer and summarization endpoints over indexed content are an AI/ML inference
    service, fitting Artificial Intelligence Management. Could alternatively be read as knowledge sharing,
    hence moderate confidence.