Merge branch 'main' into main

README.md

@@ -47,7 +47,7 @@ For more Vertex AI samples, please visit the [Vertex AI samples GitHub repositor
       <br>
       <a href="search/"><code>search/</code></a>
     </td>
-    <td>Use this folder if you're interested in using <a href="https://cloud.google.com/enterprise-search">Vertex AI Search</a>, a Google-managed solution to help you rapidly build search engines for websites and across enterprise data. (Formerly known as Enterprise Search on Generative AI App Builder)</td>
+    <td>Use this folder if you're interested in using <a href="https://cloud.google.com/enterprise-search">Vertex AI Search</a>, a Google-managed solution to help you rapidly build search engines for websites and across enterprise data. (Formerly known as Enterprise Search on Generative AI App Builder).</td>
   </tr>
   <tr>
     <td>
@@ -63,7 +63,7 @@ For more Vertex AI samples, please visit the [Vertex AI samples GitHub repositor
       <br>
       <a href="conversation/"><code>conversation/</code></a>
     </td>
-    <td>Use this folder if you're interested in using <a href="https://cloud.google.com/generative-ai-app-builder">Vertex AI Conversation</a>, a Google-managed solution to help you rapidly build chat bots for websites and across enterprise data. (Formerly known as Chat Apps on Generative AI App Builder)</td>
+    <td>Use this folder if you're interested in using <a href="https://cloud.google.com/generative-ai-app-builder">Vertex AI Conversation</a>, a Google-managed solution to help you rapidly build chat bots for websites and across enterprise data. (Formerly known as Chat Apps on Generative AI App Builder).</td>
   </tr>
   <tr>
     <td>
@@ -116,7 +116,7 @@ For more Vertex AI samples, please visit the [Vertex AI samples GitHub repositor
       <br>
       <a href="RESOURCES.md"><code>RESOURCES.md</code></a>
     </td>
-    <td>Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud</td>
+    <td>Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud.</td>
   </tr>
 </table>
 <!-- markdownlint-enable MD033 -->

embeddings/README.md

@@ -16,14 +16,14 @@ This repository explores various techniques and use-cases for embedding in Machi
 
 ## Notebooks
 
-- **[generate-embs-for-vvs.ipynb](generate-embs-for-vvs.ipynb):** Demonstrates large-scale embeddings generation for Vertex AI Vector Search.
+- **[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-textemb-vectorsearch.ipynb](intro-textemb-vectorsearch.ipynb):** Provides an introduction to text embeddings and their application in building vector search engines.
 - **[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.
 - **[task-type-embedding.ipynb](task-type-embedding.ipynb):** Explores techniques for creating embeddings specialized for different tasks.
+- **[large-embs-generation-for-vvs.ipynb](large-embs-generation-for-vvs.ipynb):** Demonstrates large-scale embeddings generation for Vertex AI Vector Search.
 
 ## Use Cases
 

embeddings/large-embs-generation-for-vvs.ipynb

@@ -740,6 +740,17 @@
         "print(f\"\\nCreated text embeddings on folder: gs://{GCS_BUCKET}/{GCS_TEXT_EMB_PATH}\")"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "306cc4861fc7"
+      },
+      "source": [
+        "### Tips for a long running job\n",
+        "\n",
+        "If you run the code for a long time, you might occasionally lose the connection between your browser and the runtime, making it difficult to track the job's progress. For these long-running jobs, you should convert this notebook to a `.py` file and run it as a Python process using the `nohup` command."
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {