Building Intelligent Search with Amazon Bedrock and Amazon OpenSearch for hybrid RAG solutions
Amazon AWS AI Blog / 4/7/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage
Key Points
- The article explains how to build an intelligent, generative AI agentic assistant that performs hybrid retrieval by combining semantic search with traditional keyword/text search.
- It leverages Amazon Bedrock for generative capabilities alongside Bedrock AgentCore to orchestrate agent behavior and retrieval workflows.
- Amazon OpenSearch is used as the underlying search layer to support text-based retrieval as part of the hybrid RAG approach.
- The implementation includes use of Strands Agents, indicating a multi-component architecture where the assistant can route queries to the right retrieval mechanisms.
- Overall, it provides a practical blueprint for implementing hybrid RAG solutions that can improve answer quality by drawing on complementary retrieval methods.
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.
💡 Insights using this article
This article is featured in our daily AI news digest — key takeaways and action items at a glance.
