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@eliasecchig
eliasecchig committed Oct 7, 2024
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## Sample Applications

| Description | Application Name | Technologies Used |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ | -------------------------------------------------------------------------- |
| Develop a Gemini application using [Streamlit](https://streamlit.io/) framework and Vertex AI Gemini API model. | [gemini-streamlit-cloudrun](gemini-streamlit-cloudrun) | Cloud Run, Streamlit, Python |
| Deploy a RAG + Gemini sample application to troubleshoot your car using the owner's manual. | [fixmycar/](fixmycar/) | Chat, Grounding, RAG, Java, Streamlit |
| Try Gemini image recognition in `bash` and see Text-to-Speech read the description to you in ~any language. All from CLI! | [image-bash-jam/](image-bash-jam/) | Text-to-Speech, Bash |
| This demo showcases how you can combine the data and documents you already have and the skills you already know with the power of [AlloyDB AI](https://cloud.google.com/alloydb/ai?hl=en), [Vertex AI](https://cloud.google.com/vertex-ai?hl=en), [Cloud Run](https://cloud.google.com/run?hl=en), and [Cloud Functions](https://cloud.google.com/functions?hl=en) to build trustworthy Gen AI features into your existing applications. | [GenWealth](genwealth/) | Vertex AI, AlloyDB, Document AI, Cloud Run, Cloud Functions, Cloud Storage |
| End-to-end Gen AI App Starter kit: This folder provides a template starter kit for building a Generative AI application on Google Cloud. We provide a comprehensive set of resources to guide you through the entire development process, from prototype to production. | [e2e-gen-ai-app-starter-kit](e2e-gen-ai-app-starter-kit/) | Vertex AI, FastAPI, LangChain, Cloud Run, Cloud Build, Terraform, Streamlit |
| Description | Application Name | Technologies Used |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- | --------------------------------------------------------------------------- |
| Develop a Gemini application using [Streamlit](https://streamlit.io/) framework and Vertex AI Gemini API model. | [gemini-streamlit-cloudrun](gemini-streamlit-cloudrun) | Cloud Run, Streamlit, Python |
| Deploy a RAG + Gemini sample application to troubleshoot your car using the owner's manual. | [fixmycar/](fixmycar/) | Chat, Grounding, RAG, Java, Streamlit |
| Try Gemini image recognition in `bash` and see Text-to-Speech read the description to you in ~any language. All from CLI! | [image-bash-jam/](image-bash-jam/) | Text-to-Speech, Bash |
| This demo showcases how you can combine the data and documents you already have and the skills you already know with the power of [AlloyDB AI](https://cloud.google.com/alloydb/ai?hl=en), [Vertex AI](https://cloud.google.com/vertex-ai?hl=en), [Cloud Run](https://cloud.google.com/run?hl=en), and [Cloud Functions](https://cloud.google.com/functions?hl=en) to build trustworthy Gen AI features into your existing applications. | [GenWealth](genwealth/) | Vertex AI, AlloyDB, Document AI, Cloud Run, Cloud Functions, Cloud Storage |
| End-to-end Gen AI App Starter kit: This folder provides a template starter kit for building a Generative AI application on Google Cloud. We provide a comprehensive set of resources to guide you through the entire development process, from prototype to production. | [e2e-gen-ai-app-starter-kit](e2e-gen-ai-app-starter-kit/) | Vertex AI, FastAPI, LangChain, Cloud Run, Cloud Build, Terraform, Streamlit |

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