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AWS-Powered Enterprise RAG Platform Aims to Make Generative AI Production-Ready

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A developer has designed and open-sourced an enterprise-grade Retrieval-Augmented Generation (RAG) platform built entirely on AWS to address trust and governance gaps in deploying generative AI at scale. The system tackles a core enterprise challenge: standard large language models lack internal corporate context and are prone to hallucination, posing operational and regulatory risks. The platform uses a fully serverless architecture spanning Amazon CloudFront, S3, Lambda, OpenSearch Serverless, and Amazon Bedrock, scaling to zero when idle to eliminate baseline infrastructure costs. Document ingestion and live inference are kept strictly separate, with corporate policy files automatically chunked, embedded, and indexed upon upload, ensuring every AI response is traceable to verified source documentation. Conversation history is retained in DynamoDB to support multi-turn interactions, making the assistant suitable for complex enterprise use cases such as refund policy guidance.

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