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
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Jul 31, 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, 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
LLM-powered document chat using Amazon Bedrock and AWS Serverless
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.
Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q
Creating Amazon Bedrock agents with Streamlit Framework
Learn how to quickly build Agents with Amazon Bedrock
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.
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.
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on AWS
This repo demonstrates how to conveniently invoke Bedrock and integrate it into currently popular AI application systems.
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
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.
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
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