{
  "id": 3421020,
  "title": "How to Build an Agentic RAG Pipeline with Real-Time Web Search",
  "url": "https://urgent.news/2026/08/26/how-to-build-an-agentic-rag-pipeline-with-real-time-web-search",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-26T03:39:16.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/cloudsway/how-to-build-an-agentic-rag-pipeline-with-real-time-web-search-2k1l"
  },
  "original_language": "en",
  "account": null,
  "summary": "TL;DR An agentic RAG pipeline treats retrieval as a tool the AI agent can call, evaluate, and call again rather than as a fixed step. The pipeline can search an internal knowledge base first, then use real-time web search when the available evidence is missing, weak, or outdated. Internal documents and web results should be converted into a shared evidence format before the model generates an…",
  "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."
}