{
  "id": 1752982,
  "title": "Improve contract search accuracy with auto-generated filters in Amazon Bedrock",
  "url": "https://urgent.news/2026/08/18/improve-contract-search-accuracy-with-auto-generated-filters-in",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-18T17:02:52.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/improve-contract-search-accuracy-with-auto-generated-filters-in-amazon-bedrock/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Amazon Bedrock's AIDA solution utilizes a Retrieval-Augmented Generation (RAG) architecture built on Amazon Bedrock Knowledge Bases to improve contract search accuracy. By leveraging implicit and explicit filtering techniques along with metadata-enriched chunking, the system can generate precise answers to natural language queries across large contract repositories. The solution starts with document ingestion, where contracts are synced into Amazon Bedrock Knowledge Bases alongside structured metadata files containing key contract attributes such as parties, effective date, termination date, jurisdiction, and other relevant information. Next, a sophisticated chunking mechanism breaks contracts into semantically meaningful segments optimized for retrieval, ensuring each segment has sufficient context while remaining concise enough for efficient processing. Finally, vector embeddings of the document chunks are stored in a vector database for querying. This architecture enables users to ask questions across large contract repositories while delivering accurate and relevant results grounded in the right contracts, legal context, and access boundaries.",
  "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."
}