This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

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

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

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

LLM-powered document chat using Amazon Bedrock and AWS Serverless

Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain

Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language models from Amazon Bedrock.

This repo demonstrates how to conveniently invoke Bedrock and integrate it into currently popular AI application systems.

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.

Creating Amazon Bedrock agents with Streamlit Framework

pwshBedrock is a PowerShell module designed to simplify interaction with Amazon Bedrock foundation models. It enables users to send messages, retrieve responses, manage conversation contexts, generate images, and estimate costs. Supporting both InvokeModel and Converse API, it streamlines AI integration in PowerShell workflows.

With this WhatsApp app, you can chat in any language with a Large language models (LLM) on Amazon Bedrock. Send voice notes and receive transcriptions. By making a minor change in the code, you can also send the transcription to the model.

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.

Uncovering Hidden Connections in Unstructured Financial Data using Amazon Bedrock and Amazon Neptune

AWS_AI_Cloudflare_workshop, Kaosiung 20240606

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Generative AI apps with Amazon Bedrock and Streamlit

Sample code for features of Agents for Amazon Bedrock

This repo provides guidance on setting up a bedrock agent to webscrape and internet search via action groups