Docs/remote url warning

docsite/docs/core-concepts/semantic-intelligence/semantic-model.md

@@ -31,6 +31,10 @@ sm = SemanticModel(datasets, domain="Healthcare")
 While these examples use local CSV files, `intugle` can connect to various data sources. See our **[Connectors documentation](../../connectors/snowflake)** for details on specific integrations like Snowflake.
 :::
 
+:::warning Working with Remote URLs
+While `intugle` supports providing remote URLs (e.g., a raw GitHub file link) in the `path`, it is **not recommended for large datasets**. For best performance and stability, we recommend downloading files to your local filesystem first and providing a local path.
+:::
+
 ### Method 2: From a List of DataSet Objects
 
 For more advanced scenarios, you can initialize the `SemanticModel` with a list of pre-configured `DataSet` objects. This is useful if you have already instantiated `DataSet` objects for other purposes.

notebooks/quickstart_fmcg.ipynb

@@ -80,6 +80,14 @@
     "print(\"All CSV files downloaded successfully.\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5c3c36bf",
+   "metadata": {},
+   "source": [
+    "> **Working with Remote URLs** : While `intugle` supports providing remote URLs (e.g., a raw GitHub file link) in the `path`, it is **not recommended for large datasets**. For best performance and stability, we recommend downloading files to your local filesystem first and providing a local path."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "27de922f",

notebooks/quickstart_healthcare.ipynb

@@ -80,6 +80,14 @@
     "print(\"All CSV files downloaded successfully.\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "eba33fbc",
+   "metadata": {},
+   "source": [
+    "> **Working with Remote URLs** : While `intugle` supports providing remote URLs (e.g., a raw GitHub file link) in the `path`, it is **not recommended for large datasets**. For best performance and stability, we recommend downloading files to your local filesystem first and providing a local path."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "4887528e",

notebooks/quickstart_healthcare_databricks.ipynb

@@ -192,7 +192,7 @@
     "4.  **Glossary Generation:** Generates a business glossary for each column using an LLM.\n",
     "5.  **Link Prediction:** Predicts the relationships (foreign keys) between tables.\n",
     "\n",
-    "Let's start by defining the datasets we want to use. The path shown below can be a local file path or a remote URL."
+    "Let's start by defining the datasets we want to use. "
    ]
   },
   {

notebooks/quickstart_native_snowflake.ipynb

@@ -187,7 +187,7 @@
     "4.  **Glossary Generation:** Generates a business glossary for each column using an LLM.\n",
     "5.  **Link Prediction:** Predicts the relationships (foreign keys) between tables.\n",
     "\n",
-    "Let's start by defining the datasets we want to use. The path shown below can be a local file path or a remote URL."
+    "Let's start by defining the datasets we want to use. "
    ]
   },
   {

notebooks/quickstart_sports_media.ipynb

@@ -80,6 +80,14 @@
     "print(\"All CSV files downloaded successfully.\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "1d7b58c2",
+   "metadata": {},
+   "source": [
+    "> **Working with Remote URLs** : While `intugle` supports providing remote URLs (e.g., a raw GitHub file link) in the `path`, it is **not recommended for large datasets**. For best performance and stability, we recommend downloading files to your local filesystem first and providing a local path."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "941ae2c6",

notebooks/quickstart_tech_manufacturing.ipynb

@@ -80,6 +80,14 @@
     "print(\"All CSV files downloaded successfully.\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "c0fcd0de",
+   "metadata": {},
+   "source": [
+    "> **Working with Remote URLs** : While `intugle` supports providing remote URLs (e.g., a raw GitHub file link) in the `path`, it is **not recommended for large datasets**. For best performance and stability, we recommend downloading files to your local filesystem first and providing a local path."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "9a63283cbaf04dbcab1f6479b197f3a8",