Featurestore notebook egen edited (#3167)

* Update build_model_experimentation_lineage_with_prebuild_code.ipynb

added colab enterprise logo and link

* Update build_model_experimentation_lineage_with_prebuild_code.ipynb

hope I fixed the JSON issue

* fix: remove new changes

* Update vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb

remove back ticks from product/feature names

* Update vertex_ai_feature_store_feature_view_service_agents.ipynb

remove back ticks

---------

Co-authored-by: Katie Nguyen <21978337+katiemn@users.noreply.github.com>
This commit is contained in:
kittyabs
2024-06-27 23:50:58 +00:00
committed by GitHub
co-authored by Katie Nguyen
parent 510eb3855c
commit cddfb9cb09
2 changed files with 9 additions and 9 deletions
@@ -74,16 +74,16 @@
"source": [
"### Objective\n",
"\n",
"In this tutorial, you learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of features serving and vector retrieval user journey.\n",
"In this tutorial, you learn how to create and use an online feature store instance to host and serve data in BigQuery with Vertex AI Feature Store in an end to end workflow of features serving and vector retrieval user journey.\n",
"\n",
"This tutorial uses the following Google Cloud ML services and resources:\n",
"\n",
"- `Vertex AI Feature Store`\n",
"- Vertex AI Feature Store\n",
"\n",
"The steps performed include:\n",
"\n",
"- Provision an online feature store instance to host and serve data.\n",
"- Create an online feature store instance to serve a `BigQuery` table.\n",
"- Create an online feature store instance to serve a BigQuery table.\n",
"- Use the online server to search nearest neighbors."
]
},
@@ -105,7 +105,7 @@
"source": [
"### Dataset\n",
"\n",
"This tutorial uses the [Google Patents Public Data](https://console.cloud.google.com/marketplace/product/google_patents_public_datasets/google-patents-public-data) dataset from the `BigQuery` public datasets.\n"
"This tutorial uses the [Google Patents Public Data](https://console.cloud.google.com/marketplace/product/google_patents_public_datasets/google-patents-public-data) dataset from the BigQuery public datasets.\n"
]
},
{
@@ -118,9 +118,9 @@
"\n",
"This tutorial uses billable components of Google Cloud:\n",
"\n",
"* `Vertex AI`\n",
"* `BigQuery`\n",
"* `Cloud Storage`\n",
"* Vertex AI\n",
"* BigQuery\n",
"* Cloud Storage\n",
"\n",
"Learn about [Vertex AI pricing](https://cloud.google.com/vertex-ai/pricing),\n",
"[BigQuery pricing](https://cloud.google.com/bigquery/pricing), [Cloud Storage pricing](https://cloud.google.com/storage/pricing),\n",
@@ -89,8 +89,8 @@
"\n",
"### Costs\n",
"This tutorial uses billable components of Google Cloud:\n",
"* `Vertex AI`\n",
"* `BigQuery`\n",
"* Vertex AI\n",
"* BigQuery\n",
"\n",
"Learn about [Vertex AI pricing](https://cloud.google.com/vertex-ai/pricing) and [BigQuery pricing](https://cloud.google.com/bigquery/pricing) and use the [Pricing Calculator](https://cloud.google.com/products/calculator/) to generate a cost estimate based on your projected usage."
]