There are 1 repository under aws-bedrock topic.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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.
This repository contains Node.js examples to get started with the Amazon Bedrock service.
Question and Answer application using AWS Bedrock, AWS ECS, Langchain, Qdrant, and FastAPI
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.
Hosting Langfuse on Amazon ECS with Fargate using CDK Python
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
Question Answering Generative AI application with Large Language Models and RAG powered by Amazon Bedrock and Amazon Kendra
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.
ARIMA ML Model - Oil and Gas Supply Chain Demand Forecasting with LLM Analysis using AWS Bedrock Foundational Model
Develop an AI application utilizing Streamlit, AWS's Bedrock, and Anthropic's Claude2 model.
RAG-based application for Q&A with data from your Confluence Wiki using LangChain, ChromaDB, AWS Bedrock or Ollama.
An example of Amazon Bedrock Agent integration with external APIs via Lambda.
AI-Enhanced Teaching Assistant: Bridging Instructor Knowledge and Web Intelligence
OpenAI and ChatGPT meet .Net
An LLM-based LS implementation that makes use of tree-sitter context to perform code actions
Simple chatbot for querying metadata of designs in Autodesk Platform Services using Amazon Bedrock.
POC demonstrating how to use AWS Bedrock with Golang
UniBot is a chatbot for universities. It utilizes Retrieval Augmented Generation (RAG) to improve the accuracy of responses.
Using RAG (Retrieval-augmented generation) to provide an LLM with up-to-date news
🔀 Bedrock Proxy Endpoint ⇢ Spin up your own custom OpenAI API server endpoint for easy AWS Bedrock inference (using standard baseUrl, and apiKey params)
This repository is about implementing a Question and Answer Chabot using RAG technique with LLM model from AWS Bedrock and LangChain.
Bite-sized RAG Projects on AWS
The "Chat with PDF using AWS Bedrock" application is a Retrieval-Augmented Generation (RAG) system that allows users to interact with PDF documents through a chat interface.
A chatbot for the University of Massachusetts Lowell