There are 1 repository under aws-bedrock topic.
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.
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
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.
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 application with Amazon Bedrock and Amazon OpenSearch Service.
POC demonstrating how to use AWS Bedrock with Golang
Question Answering Generative AI application with Large Language Models and RAG powered by Amazon Bedrock and Amazon Kendra
An example of Amazon Bedrock Agent integration with external APIs via Lambda.
CKEditor 5 custom field for Strapi, with Gen AI enabled! Strapi 的 CKEditor 5 插件,fork 自 CKEditor 官方的插件,但是加入了 AI 助手!
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon Kendra
The Document Question and Answering RAG Application is designed to provide intelligent and accurate responses to questions based on the content of uploaded documents. By combining state-of-the-art machine learning models and cloud technologies, this application offers a seamless and scalable
Demo for AWS Textextract and Bedrock
Demo app for virtual insurance assistant using AWS Bedrock
Simple application demonstrating claude using a calculator.
A simple interface to invoke Claude 3 models in AWS Bedrock
CodeSmith is a serverless application built within the AWS ecosystem. It utilizes AWS Lambda for executing the code generation logic, Amazon Bedrock for accessing the meta.llama3-70b-instruct-v1:0 model to generate code based on user requests, and Amazon S3 for storing the generated code.
🔀 Bedrock Proxy Endpoint ⇢ Spin up your own custom OpenAI API server endpoint for easy AWS Bedrock inference (using standard baseUrl, and apiKey params)
Streamlit project to scan MRI Scan images for TBC and chat with RAG chatbot around TBC in Indonesia.
QA with RAG using LLMs and Knowledge Bases for Amazon Bedrock