aws-samples

Collection of examples of how to use Model Context Protocol with AWS.

An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.

Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

This project demonstrates how to use AWS Bedrock with Anthropic Claude and Amazon Nova models to create a web automation assistant with tool use, human-in-the-loop interaction, and vision capabilities.

This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.

AI-powered assistant for AWS provided Shop Floor Connectivity (SFC) configuration management and testing. Using python Strands Agents SDK and FastMCP. All code in that example was created using Cline and Kiro app.

An open-source, serverless and agentic design for pay-per-use AI content generation using USDC stablecoin payments via x402, featuring browser wallet and autonomous agent flows on AWS.