aws-bedrock

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

AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS

A multimodal chat interface with many tools.

Automatic AI-powered test suite generator

🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.

Go module for fetching embeddings from embeddings providers

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

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

Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.

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.

This repository contains Node.js examples to get started with the Amazon Bedrock service.

Question and Answer application using AWS Bedrock, AWS ECS, Langchain, Qdrant, and FastAPI

Simple chatbot for querying metadata of designs in Autodesk Platform Services using Amazon Bedrock.

Conversational AI assistant powered by Amazon Bedrock

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

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis

🔀 Bedrock Proxy Endpoint ⇢ Spin up your own custom OpenAI API server endpoint for easy AWS Bedrock inference (using standard baseUrl, and apiKey params)

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