{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2585",
  "slug": "linkedin-builds-semantic-search-for-a-hiring-agent-at-scale",
  "title": "LinkedIn Builds Semantic Search for a Hiring Agent at Scale",
  "description": "Hiring Assistant uses retrieval and ranking infrastructure tuned for agent decisions rather than generic document search.",
  "observed_at": "2026-07-01",
  "why_it_matters": "This dated record adds public evidence to the company memory needs write loops, skills become portable capability layer analysis and keeps the claim auditable as the underlying products and practices change.",
  "novelty": "notable",
  "verification_level": "source-linked",
  "signal_type": "field-report",
  "evidence_kind": "primary-source",
  "status": "published",
  "telegram_message_id": 2585,
  "telegram_url": "https://t.me/qwgai/2585",
  "topics": [
    "semantic-search",
    "hiring",
    "retrieval"
  ],
  "entities": [],
  "related_patterns": [
    "company-memory-needs-write-loops",
    "skills-become-portable-capability-layer"
  ],
  "source_urls": [
    "https://linkedin.com/blog/engineering/ai/semantic-search-for-ai-agents-at-scale-retrieval-and-ranking-for-linkedins-hiring-assistant"
  ],
  "import_batch": "telegram-2026-07-17-plus-2026-07-20-v2",
  "routes": {
    "html": "https://newruntime.com/signals/linkedin-builds-semantic-search-for-a-hiring-agent-at-scale/",
    "markdown": "https://newruntime.com/signals/linkedin-builds-semantic-search-for-a-hiring-agent-at-scale.md",
    "json": "https://newruntime.com/signals/linkedin-builds-semantic-search-for-a-hiring-agent-at-scale.json"
  },
  "source_format": "telegram-export-normalized-json"
}