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feat: add minor info to starter pack readmes
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eliasecchig committed Dec 2, 2024
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5 changes: 3 additions & 2 deletions gemini/sample-apps/e2e-gen-ai-app-starter-pack/README.md
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| | |
| --------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
| **Authors** | [Elia Secchi](https://github.com/eliasecchig), [Lorenzo Spataro](https://github.com/lspataroG) |
| 📧 **Contact** | e2e-gen-ai-app-starter-pack@google.com |
| [**1-Minute Video Overview**](https://youtu.be/D_VQYTczBpc) | [<img src="https://img.youtube.com/vi/D_VQYTczBpc/maxresdefault.jpg" width="100" alt="Preview Video">](https://youtu.be/D_VQYTczBpc) |
| [**20-Minute Video Walkthrough**](https://youtu.be/kwRG7cnqSu0) | [<img src="https://img.youtube.com/vi/kwRG7cnqSu0/maxresdefault.jpg" width="100" alt="Preview Video">](https://youtu.be/kwRG7cnqSu0) |

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- Python >=3.10,<3.13
- Google Cloud SDK installed and configured
- [Poetry](https://python-poetry.org/docs/#installation) for dependency management
- A development environment (e.g. your local IDE or, when running remotely on Google Cloud, [Cloud Shell](https://cloud.google.com/shell) or [Cloud Workstations](https://cloud.google.com/workstations)).

### Download the starter pack

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### Share Your Experience

For other types of feedback, or if you'd like to share a positive experience or success story using this starter pack, we'd love to hear from you! You can reach out to us at [[email protected]](mailto:[email protected]).
For other types of feedback, or if you'd like to share a positive experience or success story using this starter pack, we'd love to hear from you! You can reach out to us at [email protected].

Thank you for your contributions!

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The pattern provides the infrastructure to create a Vertex AI Pipeline with your custom code. Because it's built on Vertex AI Pipelines, you benefit from features like scheduled runs, recurring executions, and on-demand triggers. For processing terabyte-scale data, we recommend combining Vertex AI Pipelines with data analytics tools like BigQuery or Dataflow.

![search pattern demo](https://storage.googleapis.com/github-repo/generative-ai/sample-apps/e2e-gen-ai-app-starter-pack/starter-pack-search-pattern.gif)

## Architecture

The pattern implements the following architecture:

![architecture diagram](https://storage.googleapis.com/github-repo/generative-ai/sample-apps/e2e-gen-ai-app-starter-pack/agentic_rag_vertex_ai_search_architecture.png)
The main addition to the base pattern is the addition of the ingestion components.

### Key Features

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