A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
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Updated
May 26, 2024 - TypeScript
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
LLM-powered document chat using Amazon Bedrock and AWS Serverless
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Learn how to Quickly build Generative AI applications with Amazon Bedrock
Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain
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 repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.
Learn how to quickly build Agents with Amazon Bedrock
Creating Amazon Bedrock agents with Streamlit Framework
Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
.NET FM Playground is a .NET MAUI Blazor sample application showcasing how to leverage Amazon Bedrock from C# code. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API.
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
Welcome to this repo where we'll continue adding hands-on examples demonstrating the use of the Java SDK for Amazon Bedrock.
'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
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