Go module for fetching embeddings from embeddings providers

A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.

Automatic AI-powered test suite generator

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.

Question and Answer application using AWS Bedrock, AWS ECS, Langchain, Qdrant, and FastAPI

This repository contains Node.js examples to get started with the Amazon Bedrock service.

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.

Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis

微信公众号自动回复机器人，基于 AWS Bedrock GenAI 服务。微信关注“哈德韦”即可体验。AWS Bedrock GenAI based auto reply robot for wechat public number.

Conversational AI assistant powered by Amazon Bedrock

AWS Bedrock Invoke Example on Python

Develop an AI application utilizing Streamlit, AWS's Bedrock, and Anthropic's Claude2 model.

ARIMA ML Model - Oil and Gas Supply Chain Demand Forecasting with LLM Analysis using AWS Bedrock Foundational Model

Question Answering application with Amazon Bedrock and Amazon OpenSearch Service.

OpenAI and ChatGPT meet .Net

RAG-based application for Q&A with data from your Confluence Wiki using LangChain, ChromaDB, AWS Bedrock or Ollama.

Question Answering Generative AI application with Large Language Models and RAG powered by Amazon Bedrock and Amazon Kendra