Observed Signal · Jul 9, 2026 · Technical Release · Source: DEV Community · Impact: 3/5 · Sentiment: Positive
Open-source Enterprise RAG Platform on AWS
An engineer published and open-sourced a production-ready Retrieval-Augmented Generation (RAG) blueprint called the Enterprise Refund AI Assistant that runs on a 100% serverless AWS architecture. The design decouples asynchronous document ingestion from synchronous inference: documents are chunked, embedded via Amazon Bedrock (Titan Text Embeddings V2), indexed in Amazon OpenSearch Serverless, and served through API Gateway + Lambda to Amazon Nova Lite for grounded responses. Infrastructure is provisioned with Terraform and deployed via GitHub Actions with OIDC; conversation history is kept in DynamoDB. The post includes implementation details (1,000-character chunk window with 200-character overlap), performance benchmarks (average end-to-end latency 1.15s; vector search ~120ms; Nova Lite ~850ms), and estimated operating costs (serverless idle compute $0; orchestration < $45/month at ~10,000 queries/day). The full implementation and walkthrough links are published as open source on GitHub with a YouTube demo.
Provides a production-ready, open-source enterprise RAG blueprint with concrete AWS-managed-model, serverless patterns, performance benchmarks and cost estimates — useful reference for organizations deploying trustworthy GenAI but not a major platform policy change.
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Key Takeaways & Evidence Grounding
- Author open-sourced an Enterprise Refund AI Assistant implementing a RAG architecture.
- Architecture uses a 100% serverless AWS topology: CloudFront, S3, Lambda, OpenSearch Serverless, Bedrock (Titan Text Embeddings V2, Amazon Nova Lite), and DynamoDB.
- Document ingestion chunks use a 1,000-character window with a 200-character overlap; chunks are embedded via Amazon Bedrock and indexed into OpenSearch Serverless.
- Benchmark results in a demo environment: average end-to-end latency 1.15 seconds; vector search ~120 ms; Nova Lite response generation ~850 ms; document ingestion under 4.2 seconds for a 20-page policy.
- Infrastructure-as-code uses Terraform with S3 remote state and DynamoDB state locking; deployments automated with GitHub Actions using OpenID Connect (OIDC).
Connected Companies & Entities
3 Entities mapped“Amazon CloudFront securely distributes a web interface hosted on Amazon S3, reducing latency while protecting backend resources....”
“Every AWS resource is provisioned declaratively using Terraform....”
“YouTube Walkthrough: https://youtu.be/OCUfAaRI8Ng...”
Ontology Mapping & Concepts
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