This is a set of Jupyter notebooks created to demonstrate the functionality of the Amazon Nova family of models for various use cases.
| Sample | Use case | Description | Languages |
|---|---|---|---|
| Text understanding | Performant and cost effecive text generation | Samples for illustrating the capabilities of Amazon Nova models for text-only tasks. | Multilanguage |
| Receipt processing | Information extraction from images | A sample for illustrating the multimodal capabilities (image understanding) of Amazon Nova models throught the processing of a purchase receipt. | Multilanguage |
| Document processing | Information extraction from documents | A sample for illustrating the multimodal capabilities (document understanding) of Amazon Nova models throught the processing of a PDF document. | Multilanguage |
| Image generation | Generation of content for marketing campaigns | Samples for illustrating the image generation capabilities of Amazon Nova Canvas model. | English |
| Agentic Workload | E-commerce Assistant Implementation | A sample demonstrating an intelligent e-commerce assistant using LangChain and Amazon Nova models. Features include product search, shipping calculations, and model comparison capabilities. | English |
This set of samples is organized as follows:
amazon-nova-samples
|---agentic-workload # Agentic workload samples
|---text-understanding # Text understanding samples
|---receipt-processing # Receipt processing samples
|---document-processing # Document processing samples
|---image-generation # Image generation samples