From keywords to conversations: Reimagining document discovery with Amazon Bedrock

The article discusses how Amazon Bedrock and AI technologies can revolutionize document search and discovery for organizations with large knowledge repositories.

• Traditional keyword search has significant limitations in finding complex information
• Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) can transform search experiences
• Benefits include conversational Q&A, cross-document insights, and semantic relevance matching
• A global health nonprofit saw 60% faster data discovery and 40% fewer "no results" queries
• The goal is to create an intelligent search platform that enables natural language queries

By combining AI technologies, organizations can create more intuitive, context-aware search experiences that make institutional knowledge more accessible and actionable.