build-on-aws

build-on-aws

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cloud-clubs-learner-library

A library for learners! Whether or not you're a part of AWS Cloud Clubs, take a look in this library for free, open, leveled content for students 18+ worldwide

llm-rag-vectordb-python

Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.

Language:Jupyter NotebookLicense:MIT-0Stargazers:94Issues:6Issues:2

bedrock-agents-streamlit

Creating Amazon Bedrock agents with Streamlit Framework

Language:PythonLicense:MIT-0Stargazers:60Issues:6Issues:2

building-apache-kafka-connectors

Sample code that shows the important aspects of developing custom connectors for Kafka Connect. It provides the resources for building, deploying, and running the code on-premises using Docker, as well as running the code in the cloud.

Language:JavaLicense:MIT-0Stargazers:46Issues:24Issues:0

dotnet-fm-playground

.NET FM Playground is a .NET MAUI Blazor sample application showcasing how to leverage Amazon Bedrock from C# code. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API.

Language:HTMLLicense:MIT-0Stargazers:35Issues:11Issues:1

gen-ai-workshop

Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q

Language:PythonLicense:MIT-0Stargazers:28Issues:9Issues:0

building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python

With this WhatsApp app, you can chat in any language with a Large language models (LLM) on Amazon Bedrock. Send voice notes and receive transcriptions. By making a minor change in the code, you can also send the transcription to the model.

Language:PythonLicense:MIT-0Stargazers:26Issues:9Issues:0

amazon-bedrock-minecraft-agent

AI agentic bot for Minecraft using Agents for Amazon Bedrock.

Language:TypeScriptLicense:MIT-0Stargazers:17Issues:0Issues:0

bedrock-agent-txt2sql

Use natural language to Generate Amazon Athena SQL queries to fetch data.

Language:PythonLicense:MIT-0Stargazers:17Issues:8Issues:0

bedrock-agents-webscraper

This repo provides guidance on setting up a bedrock agent to webscrape and internet search via action groups

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rag-golang-postgresql-langchain

Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs

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amazon-bedrock-agents-outfit-assistant

This repo contains code for a demo of Amazon Bedrock Agents.

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aws-lambda-and-cqrs-a-winning-combination

Command-Query Responsibility Segregation (CQRS) is often presented as a pattern focused on scaling by separating reads and writes. However, this is an architecture-level pattern that has nothing to do with infrastructure. At AWS re:Invent 2023 session (BOA211) we explored the right way of combining AWS Lambda and CQRS together.

License:MIT-0Stargazers:11Issues:8Issues:0

building-reactjs-gen-ai-apps-with-amazon-bedrock-javascript-sdk

Get ready to embark on an exciting journey as we combine the power of Amazon Bedrock, ReactJS and the AWS JavaScript SDK to create a generative AI application with minimal integration code.

Language:JavaScriptLicense:MIT-0Stargazers:11Issues:8Issues:0

java-fm-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.

Language:JavaScriptLicense:MIT-0Stargazers:11Issues:10Issues:0

bookstore-demo-app-with-authz

Authorization is one of the foundational needs when building your applications and services. Learn how, with the help of Cedar and Amazon Verified Permissions, to to add non-trivial authorization rules to your web application.

Language:PythonLicense:MIT-0Stargazers:10Issues:9Issues:0

real-time-gaming-leaderboard-apache-flink

Example gaming leaderboard application covering streaming ingestion, CDC enrichment, processing and visualisation including demo of advance real-time analytics concepts like late data arrival, exactly-once, dynamic config, archival and on-demand replay

Language:TypeScriptLicense:MIT-0Stargazers:9Issues:6Issues:0

custom-provider-with-terraform-plugin-framework

This repository contains a complete implementation of a custom provider built using HashiCorp's latest SDK called Terraform plugin framework.

Language:GoLicense:MIT-0Stargazers:8Issues:24Issues:0

rag-postgresql-agent-bedrock

This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon

Language:PythonLicense:MIT-0Stargazers:7Issues:0Issues:0

langchain-embeddings

This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain.

Language:Jupyter NotebookLicense:MIT-0Stargazers:6Issues:7Issues:0

bedrock-agent-appointment-manager-dynamodb

I'll guide you through setting up the resources, defining the agent's action groups, associating AWS Lambda functions to execute DynamoDB operations, and integrating the knowledge base for enhanced conversational experiences to provide more personalized and context-aware responses to user queries. All this with a 'CDK deploy' command using the AWS

Language:PythonLicense:MIT-0Stargazers:5Issues:7Issues:0

cicd-pipeline-for-containers

This repository sets up an end-to-end CI/CD container pipeline with Hashicorp Terraform based on native AWS services for hosting and testing application code, building a container image from the code, pushing and storing the container image to ECR, and deploying this container on EKS as a deployment.

Language:HCLLicense:MIT-0Stargazers:5Issues:0Issues:0

deploying-trurl-2-on-amazon-sagemaker

Deploying TRURL 2 on Amazon SageMaker. TRURL 2 is a Large Language Model (LLM), which is a fine-tuned version of LLaMA 2 with support for Polish language developed by VoiceLab and published at the company profile on Hugging Face (https://huggingface.co/Voicelab).

Language:Jupyter NotebookLicense:MIT-0Stargazers:3Issues:6Issues:0

next-gen-workshop-data-playground

Learn to use Amazon Q for coding, debugging, and data analytics

Language:PythonLicense:MIT-0Stargazers:3Issues:0Issues:0

realtime-dynamodb-zero-etl-opensearch-visualization

In the fast-paced world of data-driven decision making, real-time insights are crucial for staying ahead of the competition. Amazon OpenSearch Service and Amazon DynamoDB offer a powerful combination that enables organizations to visualize and analyze data in near real-time, without the need for complex Extract, Transform, Load (ETL) processes

Language:PythonLicense:MIT-0Stargazers:3Issues:0Issues:0

bedrock-agents-infer-models

Use natural language to run inference on various LLMs via Bedrock agents

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uscis-priority-date-tracker

This project contains the sample code for a small utility to pull and store the priority dates from the monthly USCIS Visa Bulletins. It is based on series of articles on [Community.aws](https://community.aws).

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