{
  "id": "stack-profile:enterprise-search-platform",
  "_kind": "StackProfile",
  "_file": "domain/stack-profiles/deep-stacks-6.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Enterprise Search (Elasticsearch, Python, React, Redis, Kubernetes, FastAPI)",
    "description": "A unified enterprise search platform that indexes documents, knowledge\nbase articles, code repositories, and internal communications into a\nsingle searchable interface. Elasticsearch powers the core search engine\nwith custom analyzers, synonym dictionaries, and learning-to-rank models.\nFastAPI serves the search API with query parsing, faceting, and\npersonalized result boosting. React delivers the search UI with\ntypeahead suggestions, faceted navigation, and highlighted snippets.\nRedis caches frequent queries and user preference profiles. Kubernetes\norchestrates the Elasticsearch cluster alongside API and indexer pods.\nThe tradeoff is index maintenance overhead and tuning relevance models\nacross heterogeneous content types.\n",
    "composes": [
      "tool:elasticsearch",
      "language:python",
      "framework:react",
      "library:redis",
      "tool:kubernetes",
      "framework:fastapi",
      "library:uvicorn",
      "library:pydantic"
    ]
  },
  "outgoingEdges": [
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "tool:elasticsearch",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "language:python",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "framework:react",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "library:redis",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "tool:kubernetes",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "framework:fastapi",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "library:uvicorn",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "library:pydantic",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "role:backend-engineer",
      "kind": "used_by_role"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "role:data-engineer",
      "kind": "used_by_role"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "role:frontend-engineer",
      "kind": "used_by_role"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "workflow:production-readiness-review",
      "kind": "follows_workflow"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "workflow:load-testing-cycle",
      "kind": "follows_workflow"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "domain:knowledge-management",
      "kind": "applies_to"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "domain:backend",
      "kind": "applies_to"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "skill-area:search-infrastructure",
      "kind": "requires_skill_area"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "skill-area:search-indexing",
      "kind": "requires_skill_area"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "skill-area:caching-strategies",
      "kind": "requires_skill_area"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "skill-area:api-design",
      "kind": "requires_skill_area"
    },
    {
      "from": "stack-profile:enterprise-search-platform",
      "to": "skill-area:frontend-development",
      "kind": "requires_skill_area"
    }
  ],
  "incomingEdges": []
}