{
  "id": 15292726,
  "title": "How to Build Retrieval Architecture for a Multi-Tenant SaaS Help Center (with Pagination)",
  "url": "https://urgent.news/2026/10/17/how-to-build-retrieval-architecture-for-a-multi-tenant-saas-help",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-17T22:15:15.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/ephraimpierce7934/how-to-build-retrieval-architecture-for-a-multi-tenant-saas-help-center-with-pagination-m93"
  },
  "original_language": "en",
  "account": "Retrieval architecture for a multi-tenant SaaS help center must be designed carefully to ensure proper tenant isolation, ranking, freshness, and citation on every page. Start by defining a retrieval contract that includes a retrieval unit (e.g., a paragraph with article ID), tenant identifier, product and locale filters, freshness target, and citation fields. Create fixtures that include multiple tenants, locales, deleted articles, and reindexed paragraphs to test the contract. Keep ingestion, retrieval, and answer generation as separate stages with their own SLOs. Use offset pagination with a cursor tied to stable sorting to avoid duplicates during writes. Measure recall at k, citation hit rate, and stale-result rate to evaluate performance. Paginate and source citations should be handled by two bounded stages: the first applies tenant and metadata filters to request a modest candidate window, while the second reranks those candidates and includes source IDs in the answer prompt. Implementation details can be found in a Go probe example that includes explicit vector query fields, tenant and locale filters, and cursor handling for pagination.",
  "summary": "Short answer: for retrieval architecture in a multi-tenant SaaS help center, use staged retrieval with explicit collections, bounded queries, and source context that survives pagination. Pick the backend whose filtering and citation behavior you can measure, then keep ingestion, retrieval, and answer generation as separate SLO-bearing stages. That decision rule matters in a B2B help center…",
  "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."
}