ryanadoty/Amazon-Bedrock-Amazon-RDS-POC ryanadoty/Amazon-Bedrock-Amazon-RDS-POC

  • Stars
    star
    10
  • Rank 1,807,489 (Top 36 %)
  • Language
    Python
  • License
    MIT License
  • Created about 1 year ago
  • Updated 5 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ryanadoty/Amazon-Bedrock-Amazon-RDS-POC
github

ryanadoty

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

More Repositories

1

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.
Python
20
star
2

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.
Python
17
star
3

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.
Python
13
star
4

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.
Python
10
star
5

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.
Python
10
star
6

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.
Python
9
star
7

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.
Python
8
star
8

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.
Python
7
star
9

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.
Python
6
star
10

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.
Python
6
star
11

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.
Python
3
star
12

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.
Python
2
star
13

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.
Python
2
star
14

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.
Python
2
star
15

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.
Python
1
star