community: Add Laser Embedding Integration (#18111)

- **Description:** Added Integration with Meta AI's LASER
Language-Agnostic SEntence Representations embedding library, which
supports multilingual embedding for any of the languages listed here:
https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200,
including several low resource languages
- **Dependencies:** laser_encoders

docs/docs/integrations/text_embedding/laser.ipynb

@@ -0,0 +1,149 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "900fbd04-f6aa-4813-868f-1c54e3265385",
+   "metadata": {},
+   "source": [
+    "# LASER Language-Agnostic SEntence Representations Embeddings by Meta AI\n",
+    "\n",
+    ">[LASER](https://github.com/facebookresearch/LASER/) is a Python library developed by the Meta AI Research team and used for creating multilingual sentence embeddings for over 147 languages as of 2/25/2024 \n",
+    ">- List of supported languages at https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "2a773d8d",
+   "metadata": {},
+   "source": [
+    "## Dependencies\n",
+    "\n",
+    "To use LaserEmbed with LangChain, install the `laser_encoders` Python package."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "91ea14ce-831d-409a-a88f-30353acdabd1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%pip install laser_encoders"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "426f1156",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "3f5dc9d7-65e3-4b5b-9086-3327d016cfe0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from langchain_community.embeddings.laser import LaserEmbeddings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8c77b0bb-2613-4167-a204-14d424b59105",
+   "metadata": {},
+   "source": [
+    "## Instantiating Laser\n",
+    "   \n",
+    "### Parameters\n",
+    "- `lang: Optional[str]`\n",
+    "    >If empty will default\n",
+    "    to using a multilingual LASER encoder model (called \"laser2\").\n",
+    "    You can find the list of supported languages and lang_codes [here](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200)\n",
+    "    and [here](https://github.com/facebookresearch/LASER/blob/main/laser_encoders/language_list.py)\n",
+    "."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6fb585dd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Ex Instantiationz\n",
+    "embeddings = LaserEmbeddings(lang=\"eng_Latn\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "119fbaad-9442-4fff-8214-c5f597bc8e77",
+   "metadata": {},
+   "source": [
+    "## Usage\n",
+    "\n",
+    "### Generating document embeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "62920051-cbd2-460d-ba24-0424c1ed395d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "document_embeddings = embeddings.embed_documents(\n",
+    "    [\"This is a sentence\", \"This is some other sentence\"]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7fd10d96-baee-468f-a532-b70b16b78d1f",
+   "metadata": {},
+   "source": [
+    "### Generating query embeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9f793bb6-609a-4a4a-a5c7-8e8597228915",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query_embeddings = embeddings.embed_query(\"This is a query\")"
+   ]
+  }
+ ],
+ "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}