#Amazon-bedrock
Showing 48 of 48 repositories tagged #amazon-bedrock, ranked by stars
Artificial Intelligence Infrastructure-as-Code Generator.
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
A lightning-fast, cross-platform mobile AI Assistant App built with React Native.
Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.
Sample Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.
A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
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 is intended for those looking to dive deep on advanced Text-to-SQL concepts.
Learn how to build Agentic Workflows on AWS
Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.
A Python framework for multi-modal document understanding with Amazon Bedrock
Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q
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
Learn how to Quickly build Generative AI applications with Amazon Bedrock
AWS Well-Architected Framework Review (WAFR) Acceleration with Generative AI (GenAI) sample.
This repo contains AI-powered software development patterns showing how to integrate generative AI in different stages of software development lifecycle using Amazon Q Developer, Amazon Q Business and Amazon Bedrock. This collection of patterns demonstrates practical approaches for leveraging AWS's generative AI capabilities across the software dev
Build a genAI Whatsapp app that processes images, voice notes, videos, and documents with Amazon Bedrock, and also stores the conversation history.
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
This repo contains code for a demo of Amazon Bedrock Agents.
Uncovering Hidden Connections in Unstructured Financial Data using Amazon Bedrock and Amazon Neptune
Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs
.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.
'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
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.
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.
Function calling using Amazon Bedrock with Anthropic Claude 3 foundation model
This repository contains examples for customers to get started using Amazon Bedrock Data Automation. The samples focus mainly on document processing use cases
AWS Go SDK examples for Amazon Bedrock
Sample solution to automate tedious regulatory compliance processes using multi-agent systems
Samples using AWS Terraform modules to accelerate your Infrastructure-as-Code deployments for generative AI workloads.
Sample code for features of Agents for Amazon Bedrock
Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.
Vector databases for generative AI
How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
AI/ML and Generative AI Security Assessment Framework for AWS. Automatically audit Amazon Bedrock and SageMaker & AgentCore workloads for security best practices
Track brand visibility across AI search engines with Amazon Bedrock, Step Functions, and a React dashboard
Simple Streamlit application used for demonstrating Anthropic Claude 3 family of model's multimodal prompting on Amazon Bedrock
Get a summary of the most recent news from an RSS or Atom feed using Amazon Bedrock.
How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.
Welcome to this repo where we'll continue adding hands-on examples demonstrating the use of the Java SDK for Amazon Bedrock.
Automate process to change image background using Amazon Bedrock and AWS Step Functions
Explore how you can use Amazon Bedrock with Java in a dynamic environment! It includes a Spring Boot app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.