build-on-aws
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cloud-clubs-learner-library
cloud-clubs-learner-library PublicA 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
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llm-rag-vectordb-python
llm-rag-vectordb-python PublicExplore 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 langc…
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bedrock-agents-streamlit
bedrock-agents-streamlit PublicCreating Amazon Bedrock agents with Streamlit Framework
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amazon-bedrock-quick-start
amazon-bedrock-quick-start PublicLearn how to Quickly build Generative AI applications with Amazon Bedrock
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amazon-bedrock-agents-quickstart
amazon-bedrock-agents-quickstart PublicLearn how to quickly build Agents with Amazon Bedrock
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gen-ai-workshop
gen-ai-workshop PublicLearn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q
Repositories
- fullstack-appsync-events-4-in-a-row Public
A fullstack real-time game where developers play four-in-a-row
build-on-aws/fullstack-appsync-events-4-in-a-row’s past year of commit activity - building-quiz-game-with-aws-amplify-react-native Public
Building a real-time quiz application on React Native with AWS Amplify Gen 2 and Amazon Bedrock
build-on-aws/building-quiz-game-with-aws-amplify-react-native’s past year of commit activity - conversation-with-your-architecture Public
Demonstrates how to chat with your architecture using Amazon Bedrock's Converse API, tool use, and a knowledge base. Implemented in Python, the demo allows users to analyze architecture diagrams, evaluate effectiveness, get recommendations, and make informed decisions about their system architecture.
build-on-aws/conversation-with-your-architecture’s past year of commit activity - rag-postgresql-agent-bedrock Public
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
build-on-aws/rag-postgresql-agent-bedrock’s past year of commit activity - langchain-embeddings Public
This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain.
build-on-aws/langchain-embeddings’s past year of commit activity - bookstore-demo-app-with-authz Public
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.
build-on-aws/bookstore-demo-app-with-authz’s past year of commit activity - llm-rag-vectordb-python Public
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.
build-on-aws/llm-rag-vectordb-python’s past year of commit activity - aws-lambda-and-cqrs-a-winning-combination Public
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.
build-on-aws/aws-lambda-and-cqrs-a-winning-combination’s past year of commit activity
