#Bedrock
Showing 60 of 75 repositories tagged #bedrock, ranked by stars
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
WordPress LEMP stack with PHP 8.3, Composer, WP-CLI and more
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
Application implementation with business use cases for safely utilizing generative AI in business operations
AWS-native chatbot using Bedrock
A set of tools that gives agents powerful capabilities.
Ship RAG based LLM web apps in seconds.
OpenAI-Compatible RESTful APIs for Amazon Bedrock
Agent samples built using the Strands Agents SDK.
Example Jupyter notebooks ๐ and code scripts ๐ป for using Amazon Bedrock Agents ๐ค and its functionalities
Run WordPress with nginx using Docker Compose.
A model-driven approach to building AI agents in just a few lines of code.
AI-first Search & Answer Engine for work. Open-source alternative to Glean.
High-performance Minecraft Bedrock server software with native C++ and Python plugin API
General purpose library for Minecraft Bedrock Edition software written in Go
Universal AI Agent using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative images and more.
Free, open-source AWS emulator. LocalStack alternative: 70 services, 5,139 operations, true 100% Smithy conformance (169,945/169,945 variants pass). No account, no auth token, no paid tier.
An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.
Scan 30+ AWS services. Find cost waste. Detect security gaps. Map your attack surface. One command.
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Open-source Terraform Enterprise replacement
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock
Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.
a bedrock minecraft PE Server on docker (MCPE) 1M pulls๐!
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๐ Building Go applications with LLMs through composability
Researcher Agent to write blog posts/ articles using Amazon Bedrock and websearch.
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.
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
Build, deploy, and orchestrate event-driven agents natively on Apache Flinkยฎ and Apache Kafkaยฎ
AWS superpowers with the power of bedrock and speed of rust
This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.
An MCP server that provides LLMs access to other LLMs
Build a genAI Whatsapp app that processes images, voice notes, videos, and documents with Amazon Bedrock, and also stores the conversation history.
A tiny, vendor-neutral LLM client library โ one interface (LLMClient) with pluggable adapters for OpenAI, AWS Bedrock and Google Gemini, or bring your own backend.
Demonstration application showing how Neo4j works with Amazon Bedrock
Invoking models on Amazon Bedrock using Rust
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
Deploy AI chatbots, RAG systems, and agents in under 7 minutes on AWS.
Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch
AI-powered computer control for automated testing. Factifai uses vision models (Claude, GPT-4o, Gemini) to interact with applications naturally - clicking, typing, and verifying results just like a human would.
Hands on lab for Neo4j and Amazon Bedrock
SynthGenAI - Package for Generating Synthetic Datasets using LLMs.
The Generative AI Newsletter Application sample is a ready-to-use serverless solution designed to allow users to create rich newsletters automatically with content summaries that are AI-generated.
PHP library for interacting with AI platform provider.
Deploy a FullStack Prodo-Typing Agent into your AWS Account (OpenClaw, Kiro-Cli, Pi, Hermes, Claude Code, Codex)
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.
Get ready to embark on an exciting journey as we combine the power of Amazon Bedrock, ReactJS and the AWS JavaScript SDK to create a generative AI application with minimal integration code.
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.
Composable Python framework for LLM agent workflows focused on simplicity and developer experience. We โค๏ธ OSS.
Multitenant environment automation.
Self-hosted AI technical workbench. Visual, persistent, multi-stream. Development, architecture, and operational analytics without losing context.
Code samples for building AI applications on AWS with Amazon Bedrock, including Converse API, tool use, RAG with Knowledge Bases, guardrails, and a full agent built with the Strands Agents SDK.
This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon