simplified-corrective-rag

Artificial Intelligence Infrastructure-as-Code Generator.

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

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 Generative AI using Amazon Web Services (AWS).

LLM-powered document chat using Amazon Bedrock and AWS Serverless

Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.

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 langchain and streamlit.

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.

Creating Amazon Bedrock agents with Streamlit Framework