slug: lucidworks
provider: Lucidworks
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: 5
edges:
- tag: Deployments
  spec_file: lucidworks-deployments-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /ai/models/{modelId}/deployments 'Deploy a custom model'; 'Custom models can be registered
    and deployed alongside the default catalog for inference'
  reason: Model deployment lifecycle is squarely MLOps / AI model lifecycle management.
- tag: Models
  spec_file: lucidworks-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: '''The Model Management API lets teams create, get, list, deploy, and delete models used by
    Lucidworks AI''; POST /ai/models ''Create a model'''
  reason: Explicit ML model registry/lifecycle management — AI/ML model lifecycle, MLOps.
- tag: Classification
  spec_file: lucidworks-classification-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /ai/classify/{modelId} 'Classify text'; POST /ai/predict/{modelId} 'Custom model prediction'
  reason: Running ML model inference (classification, custom predictions) is AI/ML capability delivery,
    not an industry business process.
- tag: Embeddings
  spec_file: lucidworks-embeddings-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /ai/encode/{modelId} 'Encode text to embedding'; 'generates 768-dimensional vector encodings
    using the English Language Model text encoder'
  reason: Vector embedding generation is ML model inference, mapping to Artificial Intelligence Management.
- tag: Predictions
  spec_file: lucidworks-predictions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /ai/prediction/{useCase}/{modelId} 'Create prediction by use case'; 'prediction endpoints
    for FAQ enrichment, keyword extraction, named entity recognition (NER), retrieval augmented generation
    (RAG), summarization'
  reason: Submitting ML/LLM inference jobs is AI capability delivery; the bundled OAuth token endpoint
    is plumbing and does not change the mapping.