Vaquar Khan's repositories

flowing-retail-microservice-kafka

Concrete event- and domain-driven order fulfilment implementation using Kafka or Rabbit as Event Bus and Java, Spring Boot & Camunda for the microservices

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amazon-bedrock-java-examples

Welcome to the Amazon Bedrock Java Examples repository. For more information, see the Readme.md file.

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amazon-textract-comprehend-a2i

This solution uses Amazon Textract, Amazon Comprehend and Amazon A2I to deploy an end-to-end document analysis solution.

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aws-ai-idp-human-in-loop

AWS Intelligent Document Processing Human-in-the-loop solution let's you human review Amazon Textract inferences

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Generative-AI-with-LLMs

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

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Spark-metadata-driven-Framework

MDD driven framework written in python on top of pyspark

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Spark-Programming-In-Python

Apache Spark 3 - Spark Programming in Python for Beginners

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amazon-bedrock-kendra-lex-chatbot

The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.

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amazon-bedrock-with-builder-and-command-patterns

A simple, yet powerful implementation in Java that allows developers to write a rather straightforward code to create the API requests for the different foundation models supported by Amazon Bedrock.

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aws-bedrock-tutorial

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

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bedrock-rag-demo

RAG document chat with Amazon Bedrock using Typescript on Lambda.

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building-qa-app-with-aws-bedrock-kendra-s3-and-streamlit

Building a Q&A app (powered by a LLM model) using AWS Bedrock, AWS Kendra, AWS S3 and Streamlit in just a couple of hours

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Data-Engineering-with-AWS-2nd-edition

Data Engineering with AWS, 2nd edition - Published by Packt

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genai-demos

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.

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genai-retail-aws

Generative AI for Retail & CPG on Amazon Web Services (AWS)

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GreatTechBlogPosts

A collection of my favorite tech-related blog posts.

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java-bedrock-playground

Explore how you can use Amazon Bedrock with Java in a dynamic environment! It includes a Spring Boot app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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oozie-to-airflow

Oozie Workflow to Airflow DAGs migration tool

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qa-app

QA application built with Amazon kendra, Bedrock and AWS Amplify

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quicksight-bundle-migration

AWS Quicksight Asset as a bundle. This repo contains python scripts to perform migration. Import and export of assets.

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RAG-with-bedrock-knowledgebase-java

Query RAGs with Amazon Bedrock knowledgebase with Java

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terraform-aws-mwaa

Terraform module for Amazon MWAA(Apache Airflow)

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