community: add SambaNova embeddings integration (#21227)

- **Description:**  SambaNova hosted embeddings integration

docs/docs/integrations/text_embedding/sambanova.ipynb

@@ -0,0 +1,91 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SambaNova\n",
+    "\n",
+    "**[SambaNova](https://sambanova.ai/)'s** [Sambastudio](https://sambanova.ai/technology/full-stack-ai-platform) is a platform for running your own open-source models\n",
+    "\n",
+    "This example goes over how to use LangChain to interact with SambaNova embedding models"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## SambaStudio\n",
+    "\n",
+    "**SambaStudio** allows you to train, run batch inference jobs, and deploy online inference endpoints to run open source models that you fine tuned yourself."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A SambaStudio environment is required to deploy a model. Get more information at [sambanova.ai/products/enterprise-ai-platform-sambanova-suite](https://sambanova.ai/products/enterprise-ai-platform-sambanova-suite)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Register your environment variables:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "sambastudio_base_url = \"<Your SambaStudio environment URL>\"\n",
+    "sambastudio_project_id = \"<Your SambaStudio project id>\"\n",
+    "sambastudio_endpoint_id = \"<Your SambaStudio endpoint id>\"\n",
+    "sambastudio_api_key = \"<Your SambaStudio endpoint API key>\"\n",
+    "\n",
+    "# Set the environment variables\n",
+    "os.environ[\"SAMBASTUDIO_EMBEDDINGS_BASE_URL\"] = sambastudio_base_url\n",
+    "os.environ[\"SAMBASTUDIO_EMBEDDINGS_PROJECT_ID\"] = sambastudio_project_id\n",
+    "os.environ[\"SAMBASTUDIO_EMBEDDINGS_ENDPOINT_ID\"] = sambastudio_endpoint_id\n",
+    "os.environ[\"SAMBASTUDIO_EMBEDDINGS_API_KEY\"] = sambastudio_api_key"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Call SambaStudio hosted embeddings directly from LangChain!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_community.embeddings.sambanova import SambaStudioEmbeddings\n",
+    "\n",
+    "embeddings = SambaStudioEmbeddings()\n",
+    "\n",
+    "text = \"Hello, this is a test\"\n",
+    "result = embeddings.embed_query(text)\n",
+    "print(result)\n",
+    "\n",
+    "texts = [\"Hello, this is a test\", \"Hello, this is another test\"]\n",
+    "results = embeddings.embed_documents(texts)\n",
+    "print(results)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}