{
  "id": 12180835,
  "title": "Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases",
  "url": "https://urgent.news/2026/10/05/agentic-retrieval-with-langchain-and-amazon-bedrock-knowledge-bases",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-05T15:53:56.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/agentic-retrieval-with-langchain-and-amazon-bedrock-knowledge-bases/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly. Run the same query through both paths, read the trace events, and compare what each retrieval path costs.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "AWS Machine Learning",
        "title": "Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore",
        "url": "https://urgent.news/2026/10/05/evaluating-multi-agent-systems-for-explainability-and-helpfulness",
        "published": "2026-10-05T15:50:01.000Z"
      }
    ]
  },
  "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."
}