Feat add volcano embedding (#14693)

Description: Volcano Ark is an enterprise-grade large-model service
platform for developers, providing a full range of functions and
services such as model training, inference, evaluation, fine-tuning. You
can visit its homepage at https://www.volcengine.com/docs/82379/1099455
for details. This change could help developers use the platform for
embedding.
Issue: None
Dependencies: volcengine
Tag maintainer: @baskaryan
Twitter handle: @hinnnnnnnnnnnns

---------

Co-authored-by: lujingxuansc <lujingxuansc@bytedance.com>

docs/docs/integrations/text_embedding/volcengine.ipynb

@@ -0,0 +1,123 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "# Volc Engine\n",
+    "\n",
+    "This notebook provides you with a guide on how to load the Volcano Embedding class.\n",
+    "\n",
+    "\n",
+    "## API Initialization\n",
+    "\n",
+    "To use the LLM services based on [VolcEngine](https://www.volcengine.com/docs/82379/1099455), you have to initialize these parameters:\n",
+    "\n",
+    "You could either choose to init the AK,SK in environment variables or init params:\n",
+    "\n",
+    "```base\n",
+    "export VOLC_ACCESSKEY=XXX\n",
+    "export VOLC_SECRETKEY=XXX\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2023-12-14T03:05:29.857798Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "embed_documents result:\n",
+      " [0.02929673343896866, -0.009310632012784481, -0.060323506593704224, 0.0031018739100545645, -0.002218986628577113, -0.0023125179577618837, -0.04864659160375595, -2.062115163425915e-05]\n",
+      " [0.01987231895327568, -0.026041055098176003, -0.08395249396562576, 0.020043574273586273, -0.028862033039331436, 0.004629664588719606, -0.023107370361685753, -0.0342753604054451]\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"For basic init and call\"\"\"\n",
+    "import os\n",
+    "\n",
+    "from langchain_community.embeddings import VolcanoEmbeddings\n",
+    "\n",
+    "os.environ[\"VOLC_ACCESSKEY\"] = \"\"\n",
+    "os.environ[\"VOLC_SECRETKEY\"] = \"\"\n",
+    "\n",
+    "embed = VolcanoEmbeddings(volcano_ak=\"\", volcano_sk=\"\")\n",
+    "print(\"embed_documents result:\")\n",
+    "res1 = embed.embed_documents([\"foo\", \"bar\"])\n",
+    "for r in res1:\n",
+    "    print(\"\", r[:8])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2023-12-14T03:05:29.859276Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "embed_query result:\n",
+      " [0.01987231895327568, -0.026041055098176003, -0.08395249396562576, 0.020043574273586273, -0.028862033039331436, 0.004629664588719606, -0.023107370361685753, -0.0342753604054451]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"embed_query result:\")\n",
+    "res2 = embed.embed_query(\"foo\")\n",
+    "print(\"\", r[:8])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2023-12-14T03:05:29.860282Z"
+    }
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "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": "3.9.18"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "6fa70026b407ae751a5c9e6bd7f7d482379da8ad616f98512780b705c84ee157"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}