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Building Intelligent Search with Amazon Bedrock and Amazon OpenSearch for hybrid RAG solutions

Amazon just showed how to build RAG systems that actually work: hybrid semantic + text search. Here's the architecture.

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The KeyNews take

Why it matters

AWS is demonstrating enterprise-grade RAG implementation patterns using Bedrock and OpenSearch, giving developers a practical blueprint for production generative AI deployments combining semantic and keyword search.

The key facts

10 to know
  1. Amazon Bedrock AgentCore integration with OpenSearch

  2. Hybrid RAG solution combining semantic and text-based search

  3. Strands Agents partnership/integration

  4. Published by AWS ML blog - official technical guidance

  5. Agentic assistant implementation pattern

  6. Amazon Bedrock + Amazon OpenSearch integration for hybrid RAG

  7. Semantic and text-based search combined in single solution

  8. Uses Amazon Bedrock AgentCore for agentic assistant implementation

  9. Strands Agents partnership mentioned for implementation

  10. Focus on generative AI agentic assistants as primary use case

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: In this post, we show how to implement a generative AI agentic assistant that uses both semantic and text-based search using Amazon Bedrock, Amazon Bedrock AgentCore, Strands Agents and Amazon OpenSearch.
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