Update Neptune Analytics CLI commands in samples

ChangeLog.md

@@ -3,6 +3,7 @@
 Starting with v1.31.6, this file will contain a record of major features and updates made in each release of graph-notebook.
 
 ## Upcoming
+- Updated `create-graph` CLI commands in Neptune Analytics samples ([Link to PR](https://github.com/aws/graph-notebook/pull/565))
 
 ## Release 4.1.0 (February 1, 2024)
 - New Neptune Analytics notebook - Vector Similarity Algorithms ([Link to PR](https://github.com/aws/graph-notebook/pull/555))

src/graph_notebook/notebooks/02-Neptune-Analytics/02-Graph-Algorithms/06-Vector-Similarity-Algorithms.ipynb

@@ -42,7 +42,7 @@
     "This can be done using a command similar to the one below, which can be run from a client that has the AWS CLI configured and appropriate permissions.  Please refer to the [documentation](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/vector-similarity.html) for the details on setting up a vector search enabled graph.\n",
     "\n",
     "```\n",
-    "aws neptune-graph create-graph --graph-name 'air-routes-embeddings' --provisioned-memory 128 --allow-from-public --replica-count 0 --vector-search '{\"dimension\": 1536}'\n",
+    "aws neptune-graph create-graph --graph-name 'air-routes-embeddings' --provisioned-memory 128 --public-connectivity --replica-count 0 --vector-search-configuration '{\"dimension\": 1536}'\n",
     "```\n",
     "    \n",
     "## Loading Data\n",

src/graph_notebook/notebooks/02-Neptune-Analytics/03-Sample-Use-Cases/02-Investment-Analysis/01-EDGAR-Competitior-Analysis-using-Knowledge-Graph-Graph-Algorithms-and-Vector-Search.ipynb → src/graph_notebook/notebooks/02-Neptune-Analytics/03-Sample-Use-Cases/02-Investment-Analysis/01-EDGAR-Competitor-Analysis-using-Knowledge-Graph-Graph-Algorithms-and-Vector-Search.ipynb

@@ -34,7 +34,7 @@
     "This can be done using a command similar to the one below, which can be run from a client that has the AWS CLI configured and appropriate permissions.  Please refer to the [documentation](https://docs.aws.amazon.com/neptune/) for the details on setting up a vector search enabled graph.\n",
     "\n",
     "```\n",
-    "aws neptune-graph create-graph --graph-name 'edgar' --provisioned-memory 128 --allow-from-public --replica-count 0 --vector-search '{\"dimension\": 384}'\n",
+    "aws neptune-graph create-graph --graph-name 'edgar' --provisioned-memory 128 --public-connectivity --replica-count 0 --vector-search-configuration '{\"dimension\": 384}'\n",
     "```\n",
     "\n",
     "<div class=\"alert alert-block alert-info\"> \n",

test/unit/notebooks/test_validate_notebooks.py

@@ -55,7 +55,7 @@ def test_no_extra_notebooks(self):
             f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/02-Graph-Algorithms/06-Vector-Similarity-Algorithms.ipynb',
             f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/03-Sample-Use-Cases/Overview.ipynb',
             f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/03-Sample-Use-Cases/01-FinTech/01-Fraud-Ring-Identifcation.ipynb',
-            f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/03-Sample-Use-Cases/02-Investment-Analysis/01-EDGAR-Competitior-Analysis-using-Knowledge-Graph-Graph-Algorithms-and-Vector-Search.ipynb',
+            f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/03-Sample-Use-Cases/02-Investment-Analysis/01-EDGAR-Competitor-Analysis-using-Knowledge-Graph-Graph-Algorithms-and-Vector-Search.ipynb',
             f'{NOTEBOOK_BASE_DIR}/03-Neptune-ML/01-Gremlin/01-Getting-Started-with-Neptune-ML-Gremlin.ipynb',
             f'{NOTEBOOK_BASE_DIR}/03-Neptune-ML/01-Gremlin/02-Introduction-to-Node-Classification-Gremlin.ipynb',
             f'{NOTEBOOK_BASE_DIR}/03-Neptune-ML/01-Gremlin/03-Introduction-to-Node-Regression-Gremlin.ipynb',