Build smarter RAG AI applications
How to add advanced capabilities to help you get to market faster with better gen AI performance and control
Tools and technical guides to accelerate development
Retrieval-Augmented Generation (RAG) is a powerful approach for building AI applications that deliver accurate, contextual responses using an organization's data. AWS Marketplace provides a suite of tools that integrate with AWS-native services, enhancing RAG implementations through advanced context augmentation, real-time data pipelines, and LLM observability while ensuring robust security and privacy. These specialized tools transcend basic vector embeddings by incorporating sophisticated knowledge graphs and agentic architectures. With free trials and consumption-based pricing, you can rapidly develop and scale AI applications from proof-of-concept to production, managing costs effectively through AWS billing. You'll find comprehensive technical guides that walk you through applying these tools to your specific use case, helping you create smarter RAG applications that consistently provide reliable and relevant results for your users.
Contextual retrieval with vector databases and hybrid search
To avoid struggling with poor retrieval quality or latency at scale, use semantic indexes and hybrid search to contextualize responses with current, high-value knowledge. Explore popular tools you can try now with your AWS Account.
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Streaming pipelines & workflow orchestration
Don’t let stale data break your RAG stack. Automate ingest and embed workflows to push new knowledge into your vector DB in near real time. Explore popular tools you can try now with your AWS account.
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Observability & monitoring for RAG LLM workloads
Measure latency, token usage, API error rates, and trace service interactions across your AI stack while gaining in-depth understanding of how your LLM of choice is using data.
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Security, access control, and compliance
Secure the AI boundary — inputs, retrieval, and LLM responses. Add zero-trust access, API input scanning, remote team access, and LLM-specific security posture. Explore popular tools you can try free with your AWS Account
Why AWS Marketplace for on-demand cloud tools
Free to try. Deploy in minutes. Pay only for what you use.