community[minor]: Azure DocumentIntelligenceLoader/Parser support update with latest SDK (#14389)

- **Description:**
Add DocumentIntelligenceLoader & DocumentIntelligenceParser
implementation using the latest Azure Document Intelligence SDK with
markdown support.
The core logic resides in DocumentIntelligenceParser and
DocumentIntelligenceLoader is a mere wrapper of the parser.
The parser will takes api_endpoint and api_key and creates
DocumentIntelligenceClient for the user. 4 parsing modes are supported:
1. Markdown (default)
2. Single
3. Page 
4. Object

UT and notebook are also updated accordingly.

- **Dependencies:** Azure Document Intelligence SDK:
azure-ai-documentintelligence
[azure-sdk-for-python/sdk/documentintelligence/azure-ai-documentintelligence
at 7c42462ac662522a6fd21b17d2a20f4cd40d0356 · Azure/azure-sdk-for-python
(github.com)](https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FAzure%2Fazure-sdk-for-python%2Ftree%2F7c42462ac662522a6fd21b17d2a20f4cd40d0356%2Fsdk%2Fdocumentintelligence%2Fazure-ai-documentintelligence&data=05%7C01%7CZifei.Qian%40microsoft.com%7C298225aa3e31468a863108dbf07374ff%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638368150928704292%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=oE0Sl4HERnMKdbkV9KgBV46Z2xytcQAShdTWf7ZNl%2Bs%3D&reserved=0).

---------

Co-authored-by: Erick Friis <erick@langchain.dev>

docs/docs/integrations/document_loaders/azure_document_intelligence.ipynb

@@ -5,7 +5,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Azure Document Intelligence"
+    "# Azure AI Document Intelligence"
    ]
   },
   {
@@ -13,7 +13,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Azure Document Intelligence (formerly known as Azure Forms Recognizer) is machine-learning \n",
+    "Azure AI Document Intelligence (formerly known as Azure Form Recognizer) is machine-learning \n",
     "based service that extracts text (including handwriting), tables or key-value-pairs from\n",
     "scanned documents or images.\n",
     "\n",
@@ -21,7 +21,7 @@
     "\n",
     "Document Intelligence supports PDF, JPEG, PNG, BMP, or TIFF.\n",
     "\n",
-    "Further documentation is available at https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/?view=doc-intel-3.1.0.\n"
+    "Further documentation is available at https://aka.ms/doc-intelligence.\n"
    ]
   },
   {
@@ -30,7 +30,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install langchain azure-ai-formrecognizer -q"
+    "%pip install langchain langchain-community azure-ai-documentintelligence -q"
    ]
   },
   {
@@ -46,23 +46,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The first example uses a local file which will be sent to Azure Document Intelligence.\n",
-    "\n",
-    "First, an instance of a DocumentAnalysisClient is created with endpoint and key for the Azure service.    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from azure.ai.formrecognizer import DocumentAnalysisClient\n",
-    "from azure.core.credentials import AzureKeyCredential\n",
-    "\n",
-    "document_analysis_client = DocumentAnalysisClient(\n",
-    "    endpoint=\"<service_endpoint>\", credential=AzureKeyCredential(\"<service_key>\")\n",
-    ")"
+    "The first example uses a local file which will be sent to Azure AI Document Intelligence."
    ]
   },
   {
@@ -75,15 +59,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.document_loaders.pdf import DocumentIntelligenceLoader\n",
+    "from langchain_community.document_loaders import AzureAIDocumentIntelligenceLoader\n",
     "\n",
-    "loader = DocumentIntelligenceLoader(\n",
-    "    \"<Local_filename>\", client=document_analysis_client, model=\"<model_name>\"\n",
-    ")  # e.g. prebuilt-document\n",
+    "file_path = \"<filepath>\"\n",
+    "endpoint = \"<endpoint>\"\n",
+    "key = \"<key>\"\n",
+    "loader = AzureAIDocumentIntelligenceLoader(\n",
+    "    api_endpoint=endpoint, api_key=key, file_path=file_path, api_model=\"prebuilt-layout\"\n",
+    ")\n",
     "\n",
     "documents = loader.load()"
    ]
@@ -93,25 +80,45 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The output contains each page of the source document as a LangChain document: "
+    "The default output contains one LangChain document with markdown format content: "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[Document(page_content='...', metadata={'source': '...', 'page': 1})]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "documents"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Example 2\n",
+    "The input file can also be URL path."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "url_path = \"<url>\"\n",
+    "loader = AzureAIDocumentIntelligenceLoader(\n",
+    "    api_endpoint=endpoint, api_key=key, url_path=url_path, api_model=\"prebuilt-layout\"\n",
+    ")\n",
+    "\n",
+    "documents = loader.load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "documents"
    ]
@@ -124,8 +131,16 @@
    "name": "python3"
   },
   "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
    "name": "python",
-   "version": "3.9.5"
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   },
   "vscode": {
    "interpreter": {