slug: haystack-ai
provider: Haystack / deepset
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: 4
edges:
- tag: Pipelines
  spec_file: haystack-ai-pipelines-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /api/v1/workspaces/{workspace_name}/pipelines  createPipeline; POST .../pipelines/{pipeline_name}/deploy  deployPipeline
  reason: Create, retrieve, delete, deploy and undeploy of AI/RAG pipelines on the deepset platform —
    lifecycle management of AI artefacts (MLOps). Could also be read as deployment orchestration, so sub-capability
    choice carries some ambiguity.
- tag: Dashboard
  spec_file: haystack-ai-dashboard-api-openapi.yml
  capability_id: BC-4220.20
  capability_id_l1: BC-4220
  capability_name: Observability Management
  confidence: 0.72
  evidence: GET /dashboard/api/traces  dashboard_traces  List recent traces for dashboard; GET /dashboard/api/traces/stream  Stream
    recent traces in real time (SSE)
  reason: Trace listing, streaming and clearing for a developer dashboard is runtime observability of
    the deployed pipeline service (logs/traces), not a business dashboard.
- tag: Config
  spec_file: haystack-ai-config-api-openapi.yml
  capability_id: BC-4210.40
  capability_id_l1: BC-4210
  capability_name: Deployment Orchestration
  confidence: 0.7
  evidence: POST /deploy-yaml  yaml_pipeline_deploy  Deploy a pipeline from a YAML definition; POST /undeploy/{pipeline_name}  pipeline_undeploy
  reason: Despite the 'Config' tag, operations deploy and undeploy Haystack pipelines as running services
    — deployment orchestration of software artefacts. Could alternatively be read as AI model/pipeline
    lifecycle (BC-610.60); deployment framing fits the operations better.
- tag: Openai
  spec_file: haystack-ai-openai-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v1/chat/completions  openai_chat_completions  Create chat completion; GET /v1/models  openai_models  List
    models
  reason: OpenAI-compatible inference surface (models list, chat completions, responses) exposing LLM
    pipelines for consumption — AI/ML model serving. Mapped to Artificial Intelligence Management; it
    is arguably pure API compatibility plumbing, hence moderate confidence.