#计算机科学#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
#大语言模型#Scala client for OpenAI API and other major LLM providers
#大语言模型#A multimodal chat interface with many tools.
Automatic AI-powered test suite generator
#大语言模型#🤖 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 seamle...
#大语言模型#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 ...
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...
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 Funct...
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments...
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
#向量搜索引擎#Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis
AI-Enhanced Teaching Assistant: Bridging Instructor Knowledge and Web Intelligence