#大语言模型#Artificial Intelligence Infrastructure-as-Code Generator.
#大语言模型#A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities
#安卓#A lightning-fast, cross-platform AI chat application built with React Native.
#大语言模型#AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
#大语言模型#Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.
Welcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Gener...
Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.
LLM-powered document chat using Amazon Bedrock and AWS Serverless
Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchai...
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
Creating Amazon Bedrock agents with Streamlit Framework
#大语言模型#This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain
#向量搜索引擎#Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.
Learn how to quickly build Agents with Amazon Bedrock
A Python framework for multi-modal document understanding with Amazon Bedrock
Learn how to Quickly build Generative AI applications with Amazon Bedrock
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.