{
  "id": 13503491,
  "title": "Recruiting Candidate Search Retrieval — Freshness, Access, and Citation Gate",
  "url": "https://urgent.news/2026/10/10/recruiting-candidate-search-retrieval-freshness-access-and-citation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-10T19:05:00.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/crimsonwave9361502/recruiting-candidate-search-retrieval-freshness-access-and-citation-gate-4m9h"
  },
  "original_language": "en",
  "account": "When searching for candidates in a recruiting context, it's important to retrieve fresh, accessible, and properly cited information. The system should return a structured response containing evidence-backed text, a unique document identifier, the source URL, and the tenant ID associated with the data. Additionally, the system should include metadata such as access control labels, last updated timestamp, and a relevance score. This information is crucial to ensure that recruiters can trust the sources of the information they receive.\n\nTo achieve this, there are two separate retrieval paths: a durable path for indexing resumes, interview notes, and approved job descriptions, and a live path for checking real-time information like a candidate's availability or role details. Both paths ultimately merge their results before ranking, ensuring consistent citation formats, even when the underlying data sources differ. This approach allows for a more coherent retrieval experience.\n\nAuthorization checks should be performed within the retrieval layer itself, rather than relying on post-retrieval language model filtering. This ensures that access policies and freshness are strictly maintained throughout the process. The code example provided demonstrates a Python implementation that queries both the vector index and the live web source, merges the results for the requesting tenant, and includes the necessary metadata fields. The use of retries and timeout handling ensures reliable communication with the backend services.",
  "summary": "Short answer: for recruiting candidate search, use vector retrieval for durable candidate profiles, web retrieval for live role and availability context, and keep the two behind one retrieval contract that always carries tenant, access, and citation metadata. That decision is less about picking a fashionable database than defining what a grounded answer is allowed to say. A recruiter should be…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}