ryanadoty
The contents of my repositories represent my viewpoints and not of my past or current employers, including Amazon Web Services (AWS).
AWSNew York, New York
Pinned Repositories
Amazon-Bedrock-Claude3-Multi-Modal-Sample
This is sample code demonstrating the use of Amazon Bedrock and Anthropic Claude 3 to satisfy multi-modal use cases. The application is constructed with a simple streamlit frontend where users can input zero shot requests to satisfy a broad range of use cases, including image to text multi-modal style use cases.
Amazon-Bedrock-RAG-Kendra-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a RAG based architecture with Amazon Kendra. The application is constructed with a simple streamlit frontend where users can ask questions against documents stored in Amazon Kendra.
Amazon-Bedrock-Summarization-Long-Document-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a long document summarization use case. The application is constructed with a simple streamlit frontend where users can upload large documents and get them summarized.
Amazon-Bedrock-Snowflake-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to take natural language questions to query relational data stores, specifically Snowflake.
Amazon-Bedrock-RAG-OpenSearchServerless-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to create custom embeddings stored in Amazon OpenSearch Serverless. The application is constructed with a RAG based architecture where users can ask questions against the indexed embeddings within OpenSearch Serverless.
Amazon-Bedrock-Amazon-RDS-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to use natural language questions to query relational data stores, specifically Amazon RDS.
Amazon-Bedrock-Amazon-Athena-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to use natural language questions to query relational data stores, specifically Amazon Athena. This example leverages the MOMA Open Source Database: https://github.com/MuseumofModernArt/collection.
Amazon-Bedrock-Chat-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a ChatGPT alternative. The application is constructed with a simple streamlit frontend where users can input zero shot prompt requests to satisfy a broad range of use cases.
Amazon-Bedrock-Amazon-Redshift-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to use natural language questions to query relational data stores, specifically Amazon Redshift. This example leverages the MOMA Open Source Database: https://github.com/MuseumofModernArt/collection.
Amazon-Bedrock-Document-Comparison-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a document comparison use case. The application is constructed with a simple streamlit frontend where users can upload 2 versions of a document and get all changes between documents listed.
ryanadoty's Repositories
ryanadoty/Amazon-Bedrock-Amazon-Athena-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to use natural language questions to query relational data stores, specifically Amazon Athena. This example leverages the MOMA Open Source Database: https://github.com/MuseumofModernArt/collection.
ryanadoty/Amazon-Bedrock-Chat-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a ChatGPT alternative. The application is constructed with a simple streamlit frontend where users can input zero shot prompt requests to satisfy a broad range of use cases.
ryanadoty/Amazon-Bedrock-Amazon-Redshift-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to use natural language questions to query relational data stores, specifically Amazon Redshift. This example leverages the MOMA Open Source Database: https://github.com/MuseumofModernArt/collection.
ryanadoty/Amazon-Bedrock-RAG-Kendra-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a RAG based architecture with Amazon Kendra. The application is constructed with a simple streamlit frontend where users can ask questions against documents stored in Amazon Kendra.
ryanadoty/Amazon-Bedrock-RAG-OpenSearchServerless-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to create custom embeddings stored in Amazon OpenSearch Serverless. The application is constructed with a RAG based architecture where users can ask questions against the indexed embeddings within OpenSearch Serverless.
ryanadoty/Amazon-Bedrock-Image-Generation-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a image generation use case. The application is constructed with a simple streamlit frontend where users can input text requests to generate images based on the text input.
ryanadoty/Amazon-Bedrock-Summarization-Long-Document-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a long document summarization use case. The application is constructed with a simple streamlit frontend where users can upload large documents and get them summarized.
ryanadoty/Amazon-Bedrock-Amazon-RDS-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to use natural language questions to query relational data stores, specifically Amazon RDS.
ryanadoty/Amazon-Bedrock-Snowflake-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to take natural language questions to query relational data stores, specifically Snowflake.
ryanadoty/Amazon-Bedrock-Document-Comparison-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a document comparison use case. The application is constructed with a simple streamlit frontend where users can upload 2 versions of a document and get all changes between documents listed.
ryanadoty/Amazon-Bedrock-Claude3-Multi-Modal-Sample
This is sample code demonstrating the use of Amazon Bedrock and Anthropic Claude 3 to satisfy multi-modal use cases. The application is constructed with a simple streamlit frontend where users can input zero shot requests to satisfy a broad range of use cases, including image to text multi-modal style use cases.
ryanadoty/Amazon-Bedrock-Streaming-Response-Sample
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement streaming responses. The application is constructed with a simple streamlit frontend where users can input zero shot requests directly against the LLM of their choice, leveraging a streaming response technique.
ryanadoty/Amazon-Bedrock-GenAI-Dynamic-Prompting-Explained-POC
This is sample code that can be used to provide a hands on explanation as to how Dynamic Prompting works in relation to Gen AI. The application is constructed with a simple streamlit frontend where users can ask questions against a Amazon Bedrock supported LLM and get a deeper understanding of how few-shot and dynamic prompting works.
ryanadoty/Amazon-Bedrock-Document-Generator-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a document generation use case. The application is constructed with a simple streamlit frontend where users can provide details and create a document in the exact format that the you specify.
ryanadoty/Amazon-Bedrock-Gen-AI-Pricing-Bot
This is sample code that can be used to provide high-level pricing estimates for Amazon Bedrock Gen AI based applications. The application is constructed with a simple streamlit frontend where users can calculate a pricing estimate for their Gen AI based application that leverages Amazon Bedrock and has support for RAG based architectures.
ryanadoty/Amazon-Bedrock-Multi-Model-Classification-Architecture
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a multi-model micro-services oriented architecture. The application is constructed with a simple streamlit frontend where users can input zero shot queries to satisfy a broad range of use cases against multiple disparate datasources.