AWS ML Blog
Building Intelligent Search with Amazon Bedrock and Amazon OpenSearch for hybrid RAG solutions
•1 min read•
#rag#agenticworkflows#bedrock#compute
Level:Intermediate
For:ML Engineers, Data Scientists, AI Product Managers
✦TL;DR
This article demonstrates the implementation of a generative AI agentic assistant that leverages both semantic and text-based search capabilities using Amazon Bedrock and Amazon OpenSearch, enabling hybrid Retrieval-Augmentation-Generation (RAG) solutions. By integrating these technologies, developers can build more intelligent search systems that combine the strengths of different search paradigms.
⚡ Key Takeaways
- Amazon Bedrock and Amazon Bedrock AgentCore can be used to build generative AI agentic assistants with advanced search capabilities.
- The integration of Strands Agents with Amazon Bedrock enables the creation of more sophisticated search systems.
- Amazon OpenSearch provides a powerful text-based search engine that can be combined with semantic search capabilities for hybrid RAG solutions.
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