Flexible and powerful framework for managing multiple AI agents and handling complex conversations

A multimodal chat interface with many tools.

Automatic AI-powered test suite generator

A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.

Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.

Conversational AI assistant powered by Amazon Bedrock

RAG Application with LangChain, Terraform, AWS Opensearch and AWS Bedrock

AI-Enhanced Teaching Assistant: Bridging Instructor Knowledge and Web Intelligence

ARIMA ML Model - Oil and Gas Supply Chain Demand Forecasting with LLM Analysis using AWS Bedrock Foundational Model

Tutorial of aws-bedrock to use foundational models for specific usage

RAG-based application for Q&A with data from your Confluence Wiki using LangChain, ChromaDB, AWS Bedrock or Ollama.

Question Answering Generative AI application with Large Language Models and RAG powered by Amazon Bedrock and Amazon Kendra

AWS Bedrock Invoke Example on Python

Gateway to control LLM API/SDK calls. Supports access to OpenAI, Azure, Anthropic and Bedrock calls

This repository is about implementing a Question and Answer Chabot using RAG technique with LLM model from AWS Bedrock and LangChain.

Text adventure game powered by LLMs

The "Chat with PDF using AWS Bedrock" application is a Retrieval-Augmented Generation (RAG) system that allows users to interact with PDF documents through a chat interface.

Demo for AWS Textextract and Bedrock