docs: partner packages (#16960)

docs/.local_build.sh

@@ -16,7 +16,8 @@ cp ../cookbook/README.md src/pages/cookbook.mdx
 mkdir -p docs/templates
 cp ../templates/docs/INDEX.md docs/templates/index.md
 poetry run python scripts/copy_templates.py
-wget https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O docs/langserve.md
+wget -q https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O docs/langserve.md
+wget -q https://raw.githubusercontent.com/langchain-ai/langgraph/main/README.md -O docs/langgraph.md
 
 yarn
 

docs/docs/integrations/chat/mistralai.ipynb

@@ -19,7 +19,19 @@
     "\n",
     "This notebook covers how to get started with MistralAI chat models, via their [API](https://docs.mistral.ai/api/).\n",
     "\n",
-    "A valid [API key](https://console.mistral.ai/users/api-keys/) is needed to communicate with the API."
+    "A valid [API key](https://console.mistral.ai/users/api-keys/) is needed to communicate with the API.\n",
+    "\n",
+    "You will need the `langchain-mistralai` package to use the API. You can install it via pip:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eb978a7e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-core langchain-mistralai"
    ]
   },
   {

docs/docs/integrations/platforms/index.mdx

@@ -0,0 +1,22 @@
+# Providers
+
+LangChain integrates with many providers
+
+## Partner Packages
+
+- [OpenAI](/docs/integrations/platforms/openai)
+- [Anthropic](/docs/integrations/platforms/anthropic)
+- [Google](/docs/integrations/platforms/google)
+- [MistralAI](/docs/integrations/providers/mistralai)
+- [NVIDIA AI](/docs/integrations/providers/nvidia)
+- [Together AI](/docs/integrations/providers/together)
+- [Robocorp](/docs/integrations/providers/robocorp)
+- [Exa Search](/docs/integrations/providers/exa_search)
+- [Nomic](/docs/integrations/providers/nomic)
+
+
+## Featured Community Providers
+
+- [AWS](/docs/integrations/platforms/aws)
+- [Hugging Face](/docs/integrations/platforms/huggingface)
+- [Microsoft](/docs/integrations/platforms/microsoft)

docs/docs/integrations/providers/exa_search.ipynb

@@ -0,0 +1,77 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Exa Search\n",
+    "\n",
+    "Exa's search integration exists in its own [partner package](https://pypi.org/project/langchain-exa/). You can install it with:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-exa"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In order to use the package, you will also need to set the `EXA_API_KEY` environment variable to your Exa API key.\n",
+    "\n",
+    "## Retriever\n",
+    "\n",
+    "You can use the [`ExaSearchRetriever`](/docs/integrations/tools/exa_search#using-exasearchretriever) in a standard retrieval pipeline. You can import it as follows"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "id": "y8ku6X96sebl"
+   },
+   "outputs": [],
+   "source": [
+    "from langchain_exa import ExaSearchRetriever"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Tools\n",
+    "\n",
+    "You can use Exa as an agent tool as described in the [Exa tool calling docs](/docs/integrations/tools/exa_search#using-the-exa-sdk-as-langchain-agent-tools).\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}

docs/docs/integrations/providers/mistralai.ipynb

@@ -0,0 +1,78 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MistralAI\n",
+    "\n",
+    "Mistral AI is a platform that offers hosting for their powerful open source models.\n",
+    "\n",
+    "You can access them via their  [API](https://docs.mistral.ai/api/).\n",
+    "\n",
+    "A valid [API key](https://console.mistral.ai/users/api-keys/) is needed to communicate with the API.\n",
+    "\n",
+    "You will also need the `langchain-mistralai` package:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-core langchain-mistralai"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "id": "y8ku6X96sebl"
+   },
+   "outputs": [],
+   "source": [
+    "from langchain_mistralai import ChatMistralAI, MistralAIEmbeddings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "See the docs for their\n",
+    "\n",
+    "- [Chat Model](/docs/integrations/chat/mistralai)\n",
+    "- [Embeddings Model](/docs/integrations/text_embedding/mistralai)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}

docs/docs/integrations/providers/nomic.ipynb

@@ -11,6 +11,22 @@
     "- Atlas: their Visual Data Engine\n",
     "- GPT4All: their Open Source Edge Language Model Ecosystem\n",
     "\n",
+    "The Nomic integration exists in its own [partner package](https://pypi.org/project/langchain-nomic/). You can install it with:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-nomic"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "Currently, you can import their hosted [embedding model](/docs/integrations/text_embedding/nomic) as follows:"
    ]
   },

docs/docs/integrations/providers/together.ipynb

@@ -0,0 +1,78 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Together AI\n",
+    "\n",
+    "> The Together API makes it easy to fine-tune or run leading open-source models with a couple lines of code. We have integrated the world’s leading open-source models, including Llama-2, RedPajama, Falcon, Alpaca, Stable Diffusion XL, and more. Read more: https://together.ai\n",
+    "\n",
+    "To use, you'll need an API key which you can find here:\n",
+    "https://api.together.xyz/settings/api-keys. This can be passed in as init param\n",
+    "``together_api_key`` or set as environment variable ``TOGETHER_API_KEY``.\n",
+    "\n",
+    "Together API reference: https://docs.together.ai/reference/inference\n",
+    "\n",
+    "You will also need to install the `langchain-together` integration package:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install --upgrade --quiet langchain-together"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "id": "y8ku6X96sebl"
+   },
+   "outputs": [],
+   "source": [
+    "from __module_name__ import (\n",
+    "    Together,  # LLM\n",
+    "    TogetherEmbeddings,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "See the docs for their\n",
+    "\n",
+    "- [LLM](/docs/integrations/llms/together)\n",
+    "- [Embeddings Model](/docs/integrations/text_embedding/together)"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}

docs/docs/integrations/tools/exa_search.ipynb

@@ -60,7 +60,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Using ExaSearchRetriever\n",
+    "## Using ExaSearchRetriever\n",
     "\n",
     "ExaSearchRetriever is a retriever that uses Exa Search to retrieve relevant documents."
    ]

docs/sidebars.js

@@ -87,11 +87,11 @@ module.exports = {
       collapsible: false,
       items: [
         { type: "autogenerated", dirName: "integrations/platforms" },
-        { type: "category", label: "More", collapsed: true, items: [{type:"autogenerated", dirName: "integrations/providers" }]},
+        { type: "category", label: "More", collapsed: true, items: [{type:"autogenerated", dirName: "integrations/providers" }], link: { type: 'generated-index', slug: "integrations/providers", }},
       ],
       link: {
-        type: 'generated-index',
+        type: 'doc',
-        slug: "integrations/providers",
+        id: 'integrations/platforms/index'
       },
     },
     {

libs/cli/langchain_cli/integration_template/docs/provider.ipynb

@@ -17,9 +17,9 @@
    },
    "outputs": [],
    "source": [
-    "from __module_name__.chat_models import __ModuleName__Chat\n",
+    "from __module_name__ import Chat__ModuleName__\n",
-    "from __module_name__.llms import __ModuleName__LLM\n",
+    "from __module_name__ import __ModuleName__LLM\n",
-    "from __module_name__.vectorstores import __ModuleName__VectorStore"
+    "from __module_name__ import __ModuleName__VectorStore"
    ]
   }
  ],