amazon-bedrock
There are 6 repositories under amazon-bedrock topic.
gofireflyio / aiac
Artificial Intelligence Infrastructure-as-Code Generator.
Language:Go 3759- aws-genai-llm-chatbot
aws-samples / aws-genai-llm-chatbot
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
Language:TypeScript 1317 This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Language:Jupyter Notebook 1205awslabs / amazon-bedrock-agent-samples
Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities
Language:Python 732A lightning-fast, cross-platform AI chat application built with React Native.
Language:TypeScript 605- generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Language:TypeScript 493 centralmind / gateway
Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.
Language:Go 471Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.
Language:TypeScript 379- AWS-First-GenAI-Journey
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).
Language:Jupyter Notebook 361 LLM-powered document chat using Amazon Bedrock and AWS Serverless
Language:TypeScript 285This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
build-on-aws / llm-rag-vectordb-python
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.
Language:Jupyter Notebook 148debnsuma / fcc-ai-engineering-aws
A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.
Language:Jupyter Notebook 133Creating Amazon Bedrock agents with Streamlit Framework
Language:Python 128This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
Language:Jupyter Notebook 123Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain
Language:JavaScript 104Learn how to quickly build Agents with Amazon Bedrock
Language:Python 97redis-developer / agentic-rag
Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.
Language:Jupyter Notebook 97- rhubarbLanguage:Python 94
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.
Language:TypeScript 92Learn how to Quickly build Generative AI applications with Amazon Bedrock
Language:Python 87Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q
Language:Python 87Learn how to build Agentic Workflows on AWS
Language:Python 77Personalized 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
Language:TypeScript 76AWS Well-Architected Framework Review (WAFR) Acceleration with Generative AI (GenAI) sample.
Language:Python 74Build a genAI Whatsapp app that processes images, voice notes, videos, and documents with Amazon Bedrock, and also stores the conversation history.
Language:Python 73Discover how to build agents that can perform actions on websites by combining Amazon Nova Act with Model Context Protocol (MCP).
Language:Python 70Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
Language:Jupyter Notebook 68aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-aws
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
Language:Python 66Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
Language:HTML 64This repo contains code for a demo of Amazon Bedrock Agents.
Language:Python 56This repo provides guidance on setting up a bedrock agent to webscrape and internet search via action groups
Language:Python 52.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.
Language:HTML 47A generative AI application that summarizes the content of AWS What's New and other web articles in multiple languages, and delivers the summary to Slack or Microsoft Teams.
Language:Python 46'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
Language:HTML 44This 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.
Language:TypeScript 41