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Improve search results for AI using Amazon OpenSearch Service as a vector database with Amazon Bedrock
- AI has revolutionized search applications and generative AI, with Amazon recommending OpenSearch as a vector database for AI use cases.
- OpenSearch Service and Amazon Bedrock are key components for AI-powered search and generative AI systems.
- Using OpenSearch Service, you can store vectors in a database for efficient search and generation of responses.
- Vector databases help in preventing AI hallucinations and improving recommendation systems.
- OpenSearch supports various vector engines for efficient nearest neighbor search and retrieval accuracy.
- OpenSearch's hybrid search combines lexical and vector queries for improved search accuracy.
- OpenSearch Serverless offers a high-performing vector database integrated with Amazon Bedrock for generative AI.
- AI models like large language models (LLMs) are utilized for generative AI applications in tandem with vector databases.
- OpenSearch Serverless scales based on workload and offers cost-effective deployment starting at one OCU.
- Amazon Bedrock automates the generation of vector embeddings for semantic search with OpenSearch Service.
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