Generic programming with typed R vectors

A custom AWS CDK construct library for S3 Vectors.

Transform any document into professional presentations instantly using AWS Bedrock AI. Upload PDFs, get context-aware slides with RAG-powered intelligence. Leveraging S3 Vectors for 90% cost savings

Simple implementation of Semantic Versioning 2.0.0 (SemVer) on R

CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) with OpenSearch. Features MCP server, Slack bot, Web UI, multi-source ingestion (local/S3/GitHub), and multi-provider embeddings (Bedrock/Gemini).

Multimodal AI embeddings with TwelveLabs Marengo on Amazon Bedrock. Generate unified vector representations for text, video, audio, and images. Features cross-modal search, S3 Vector Store integration, and production-ready patterns for semantic similarity search.

Give your AI tools persistent memory. A private MCP server built entirely in your AWS account — captures, embeds, and semantically searches your thoughts.

S3 Vectors client implementation in pure shell makes Vectors operations super easy

Repo for portfolio, containing working redirects to all projects.

S3 Vectorsにハンズオン

AWS Serverless AI search with S3 Vector

HIPAA-compliant RAG (Retrieval-Augmented Generation) framework for building modular, open-source health data applications on AWS

Multi-turn AI agent with intelligent context management that solves context rotting. Full-stack serverless solution with rolling summaries, structured memory extraction, and quality monitoring. Built on AWS with TypeScript, handling 100+ turn conversations while maintaining 95% fact preservation.

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