docs: Add README files (Created by Gemini) (GoogleCloudPlatform#1070)

embeddings/README.md

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+# Embeddings
+
+This repository explores various techniques and use-cases for embedding in Machine Learning, with a particular focus on text embeddings and their applications.
+
+## Notebooks
+
+- **[hybrid-search.ipynb](hybrid-search.ipynb):** Demonstrates building a hybrid search system leveraging both keyword-based search and semantic similarity search with embeddings.
+- **[embedding-similarity-visualization.ipynb](embedding-similarity-visualization.ipynb):** Visualizes similarity relationships between embeddings using dimensionality reduction techniques like PCA and t-SNE.
+- **[intro-textemb-vectorsearch.ipynb](intro-textemb-vectorsearch.ipynb):** Provides an introduction to text embeddings and their application in building vector search engines.
+- **[vector-search-quickstart.ipynb](vector-search-quickstart.ipynb):** Offers a quickstart guide to setting up and using vector search for finding semantically similar items.
+- **[intro_multimodal_embeddings.ipynb](intro_multimodal_embeddings.ipynb):** Introduces the concept of multimodal embeddings, which combine information from different modalities like text and images.
+- **[intro_embeddings_tuning.ipynb](intro_embeddings_tuning.ipynb):** Explores techniques for fine-tuning pre-trained embedding models to specific domains and tasks.
+
+## Use Cases
+
+- **[use-cases/outlier-detection/bq-vector-search-log-outlier-detection.ipynb](use-cases/outlier-detection/bq-vector-search-log-outlier-detection.ipynb):** Shows how to utilize vector search and BigQuery to identify outlier log entries based on their semantic similarity to other logs.

genkit/README.md

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+# Genkit
+
+This repository contains solutions using [Firebase Genkit](https://firebase.google.com/docs/genkit).
+
+## Directory Structure
+
+- **generate-synthetic-database/**: This directory contains the source code for a Google Cloud Function that generates a synthetic database.

open-models/README.md

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+# Open Models
+
+This repository contains examples for deploying open source models with Vertex AI.
+
+## Notebooks
+
+- [serving/cloud_run_ollama_gemma2_rag_qa.ipynb](./serving/cloud_run_ollama_gemma2_rag_qa.ipynb) - This notebooks provides steps and code to deploy an open source RAG pipeline to Cloud Run using Ollama and the Gemma 2 model.

speech/README.md

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+# Speech Recognition and Generation
+
+This repository explores various use-cases and implementations of speech recognition and generation technologies with Google Cloud Speech-to-Text and Text-to-Speech
+
+## Contents
+
+Here's a breakdown of the content available:
+
+- **Getting Started:**
+  - [speech_recognition.ipynb](getting-started/speech_recognition.ipynb): This Jupyter Notebook provides a basic introduction to performing speech recognition using Google Cloud's Speech-to-Text API.
+- **Use Cases:**
+  - **Storytelling:**
+    - [storytelling.ipynb](use-cases/storytelling/storytelling.ipynb): This notebook delves into a specific application of speech technology - crafting engaging stories. It likely leverages both speech recognition and generation to create interactive or automated storytelling experiences.

vision/README.md

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+# Vision
+
+This directory contains examples and guides for using Google Cloud's Vision AI products and services.
+
+## Getting Started
+
+- [Image Generation](getting-started/image_generation.ipynb): Introduction to generating images with Google Cloud's Imagen models.
+- [Imagen3 Image Generation](getting-started/imagen3_image_generation.ipynb): Learn how to use the Imagen3 model for text-to-image generation.
+- [Image Editing](getting-started/image_editing.ipynb): Edit images using Imagen and provide text instructions.
+- [Image Editing Mask Mode](getting-started/image_editing_maskmode.ipynb): Explore using the mask mode feature of image editing.
+- [Visual Question Answering](getting-started/visual_question_answering.ipynb): Learn to ask questions about images and get relevant answers.
+- [Visual Captioning](getting-started/visual_captioning.ipynb): Generate captions that describe the content of images.
+
+## Use Cases
+
+- [Advanced Prompting for Imagen2](use-cases/advanced_prompting_for_imagen2.ipynb): Deep dive into advanced prompting techniques to enhance your Imagen2 image generation results.
+- [Creating High Quality Visual Assets with Gemini and Imagen](use-cases/creating_high_quality_visual_assets_with_gemini_and_imagen.ipynb): Learn to create high-quality visual assets by combining the power of Gemini and Imagen.
+- [Brochure Creation Using Imagen](use-cases/brochure-creation-using-imagen/brochure_creation_using_imagen.ipynb): Step-by-step guide on how to use Imagen for generating creative brochure designs.
+
+## Gradio
+
+- [Gradio Image Generation SDK](gradio/gradio_image_generation_sdk.ipynb): Demonstrates the usage of the Gradio Image Generation SDK for building interactive image generation applications.