{
  "id": 19729004,
  "title": "Semantic Retrieval for Financial Research Dashboards: Schema Design and Reranking",
  "url": "https://urgent.news/2026/11/12/semantic-retrieval-for-financial-research-dashboards-schema-design",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-12T23:51:48.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/hieronymusfox1257/semantic-retrieval-for-financial-research-dashboards-schema-design-and-reranking-9ne"
  },
  "original_language": "en",
  "account": null,
  "summary": "The brief discusses the importance of a staged retrieval design for financial research dashboards, emphasizing the need for explicit collections, bounded queries, and traceable source context. It recommends structuring the schema with stable document_id, chunk_id, published_at, source_url, ticker, filing_type, and as_of values to ensure reliable citation in the answer layer. The brief highlights the benefits of separating the ingestion, retrieval, and reranking stages to enable troubleshooting and provider replacement. It also introduces a minimal TypeScript interface for vector queries, allowing the dashboard to interact with the retrieval system without being tied to a specific provider.",
  "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."
}