docs: Updated integration docs with required package installations (#…

…22392)

**Title:** Updated integration docs with required package installations
   **Issue:**  #22005

docs/docs/integrations/llms/aleph_alpha.ipynb

@@ -12,6 +12,17 @@
     "This example goes over how to use LangChain to interact with Aleph Alpha models"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "84483bd5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Installing the langchain package needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

docs/docs/integrations/llms/alibabacloud_pai_eas_endpoint.ipynb

@@ -9,6 +9,16 @@
     ">[Machine Learning Platform for AI of Alibaba Cloud](https://www.alibabacloud.com/help/en/pai) is a machine learning or deep learning engineering platform intended for enterprises and developers. It provides easy-to-use, cost-effective, high-performance, and easy-to-scale plug-ins that can be applied to various industry scenarios. With over 140 built-in optimization algorithms, `Machine Learning Platform for AI` provides whole-process AI engineering capabilities including data labeling (`PAI-iTAG`), model building (`PAI-Designer` and `PAI-DSW`), model training (`PAI-DLC`), compilation optimization, and inference deployment (`PAI-EAS`). `PAI-EAS` supports different types of hardware resources, including CPUs and GPUs, and features high throughput and low latency. It allows you to deploy large-scale complex models with a few clicks and perform elastic scale-ins and scale-outs in real time. It also provides a comprehensive O&M and monitoring system."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 8,

docs/docs/integrations/llms/amazon_api_gateway.ipynb

@@ -16,6 +16,16 @@
     ">`API Gateway` handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, CORS support, authorization >and access control, throttling, monitoring, and API version management. `API Gateway` has no minimum fees or startup costs. You pay for the API calls you receive and the amount of data >transferred out and, with the `API Gateway` tiered pricing model, you can reduce your cost as your API usage scales."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

docs/docs/integrations/llms/anyscale.ipynb

@@ -12,6 +12,17 @@
     "This example goes over how to use LangChain to interact with [Anyscale Endpoint](https://app.endpoints.anyscale.com/). "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "134bd228",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

docs/docs/integrations/llms/aphrodite.ipynb

@@ -18,6 +18,17 @@
     "To use, you should have the `aphrodite-engine` python package installed."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4dba1074",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

docs/docs/integrations/llms/arcee.ipynb

@@ -8,6 +8,16 @@
     "This notebook demonstrates how to use the `Arcee` class for generating text using Arcee's Domain Adapted Language Models (DALMs)."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

docs/docs/integrations/llms/azure_ml.ipynb

@@ -11,6 +11,16 @@
     "This notebook goes over how to use an LLM hosted on an `Azure ML Online Endpoint`."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

docs/docs/integrations/llms/baichuan.ipynb

@@ -8,6 +8,16 @@
     "Baichuan Inc. (https://www.baichuan-ai.com/) is a Chinese startup in the era of AGI, dedicated to addressing fundamental human needs: Efficiency, Health, and Happiness."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

docs/docs/integrations/llms/baidu_qianfan_endpoint.ipynb

@@ -45,6 +45,16 @@
     "- AquilaChat-7B"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,

docs/docs/integrations/llms/banana.ipynb

@@ -12,6 +12,16 @@
     "This example goes over how to use LangChain to interact with Banana models"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU  langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

docs/docs/integrations/llms/baseten.ipynb

@@ -45,6 +45,16 @@
     "In this example, we'll work with Mistral 7B. [Deploy Mistral 7B here](https://app.baseten.co/explore/mistral_7b_instruct) and follow along with the deployed model's ID, found in the model dashboard."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "##Installing the langchain packages needed to use the integration\n",
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,