ksmin23

my-aws-cdk-examples

A collection of AWS CDK Python examples with architecture diagrams for frequently used AWS services

rag-with-postgresql-pgvector

Question Answering application with Large Language Models (LLMs) and Amazon Aurora Postgresql using pgvector

rag-with-amazon-opensearch

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service

aws-msk-debezium-cdc-data-pipeline

Data Pipeline for CDC data from MySQL DB to Amazon S3 through Amazon MSK using Amazon MSK Connect (Debezium).

image-insights

automatic image tagger and image tag analysis

aws-msk-serverless-debezium-cdc-data-pipeline

Data Pipeline for CDC data from MySQL DB to Amazon S3 through Amazon MSK Serverless using Amazon MSK Connect (Debezium).

rag-with-haystack-and-amazon-opensearch

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack

rag-with-amazon-bedrock-and-opensearch

Question Answering application with Amazon Bedrock and Amazon OpenSearch Service.

semantic-vector-search-with-sagemaker-pgvector

A search application using Aurora Postgresql and pgvector for an online retail store product catalog

pytorch-forecasting-sagemaker

PyTorch Forecasting SageMaker Examples

rag-with-amazon-bedrock-and-kendra

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon Kendra

rag-with-amazon-kendra

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon Kendra

rag-with-amazon-opensearch-serverless

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Serverless Service

vector-based-semantic-text-search

This project shows how to search texts using KNN-algoritm. The embeded texts are indexed into OpenSearch, and a query is converted into a vector as an input of KNN

abalone-model-build-with-jenkins

abalone-modelbuild-with-git

ad-creatives-and-gen-ai-stable-diffusion

amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.

amazon-memorydb-for-redis-samples

Code samples for Amazon MemoryDB for Redis is a durable database with microsecond reads, low single-digit millisecond writes, scalability, and enterprise security.

amazon-sagemaker-mlflow-fargate

Managing your machine learning lifecycle with MLflow and Amazon SageMaker

awesome-cdk

A collection of awesome things related to the AWS Cloud Development Kit (CDK)

aws-dms-serverless-mysql-to-s3-migration

AWS DMS Serverless data pipeline from MySQL to S3

aws-dms-serverless-to-kinesis-data-pipeline

Data Pipeline for CDC data from MySQL DB to Amazon Kinesis Data Streams through Amazon Kinesis using Amazon DMS Serverless

aws-rss-feed-trans-bot-on-ecs

영문 AWS 최신 소식 (What's New with AWS?)을 한국어로 자동번역해서 e-mail로 발송해주는 solution

deep-learning-from-scratch-1

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

rag-with-amazon-bedrock-and-memorydb

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

streaming-count-sketches-with-hyperloglog-in-redis

Streaming Count Sketches with HyperLogLog in Amazon MemoryDB for Redis

streaming-data-pipeline-from-kafka-to-s3-using-aws-kinesis-firehose

Streaming data pipeline to continuously load data from an Amazon MSK or MSK Serverless cluster to Amazon S3 using Amazon Kinesis Data Firehose.

transactional-datalake-using-amazon-msk-iceberg-on-aws-glue

Stream CDC into an Amazon S3 data lake in Apache Iceberg format with AWS Glue Streaming and MSK Connect (Debezium)

transactional-datalake-using-amazon-msk-serverless-iceberg-on-aws-glue

Stream CDC into an Amazon S3 data lake in Apache Iceberg format with AWS Glue Streaming and MSK Connect (Debezium)