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	# docs `ecosystem/integrations` update 4 Added missed integrations. Fixed inconsistencies. ## Who can review? @hwchase17 @dev2049
		
			
				
	
	
		
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			3.2 KiB
		
	
	
	
		
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			125 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
| {
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|  "cells": [
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|   {
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|    "cell_type": "markdown",
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|    "id": "33205b12",
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|    "metadata": {},
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|    "source": [
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|     "# Telegram\n",
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|     "\n",
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|     ">[Telegram Messenger](https://web.telegram.org/a/) is a globally accessible freemium, cross-platform, encrypted, cloud-based and centralized instant messaging service. The application also provides optional end-to-end encrypted chats and video calling, VoIP, file sharing and several other features.\n",
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|     "\n",
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|     "This notebook covers how to load data from `Telegram` into a format that can be ingested into LangChain."
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 1,
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|    "id": "90b69c94",
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "from langchain.document_loaders import TelegramChatFileLoader, TelegramChatApiLoader"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 2,
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|    "id": "13deb0f5",
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "loader = TelegramChatFileLoader(\"example_data/telegram.json\")"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 3,
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|    "id": "9ccc1e2f",
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|    "metadata": {},
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|    "outputs": [
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|     {
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|      "data": {
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|       "text/plain": [
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|        "[Document(page_content=\"Henry on 2020-01-01T00:00:02: It's 2020...\\n\\nHenry on 2020-01-01T00:00:04: Fireworks!\\n\\nGrace 🧤 ðŸ\\x8d’ on 2020-01-01T00:00:05: You're a minute late!\\n\\n\", metadata={'source': 'example_data/telegram.json'})]"
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|       ]
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|      },
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|      "execution_count": 3,
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|      "metadata": {},
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|      "output_type": "execute_result"
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|     }
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|    ],
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|    "source": [
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|     "loader.load()"
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|    ]
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|   },
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|   {
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|    "cell_type": "markdown",
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|    "id": "3e64cac2",
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|    "metadata": {},
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|    "source": [
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|     "`TelegramChatApiLoader` loads data directly from any specified chat from Telegram. In order to export the data, you will need to authenticate your Telegram account. \n",
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|     "\n",
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|     "You can get the API_HASH and API_ID from https://my.telegram.org/auth?to=apps\n",
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|     "\n",
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|     "chat_entity – recommended to be the [entity](https://docs.telethon.dev/en/stable/concepts/entities.html?highlight=Entity#what-is-an-entity) of a channel.\n",
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|     "\n"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "id": "f05f75f3",
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "loader = TelegramChatApiLoader(\n",
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|     "    chat_entity=\"<CHAT_URL>\", # recommended to use Entity here\n",
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|     "    api_hash=\"<API HASH >\", \n",
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|     "    api_id=\"<API_ID>\", \n",
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|     "    user_name =\"\", # needed only for caching the session.\n",
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|     ")"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "id": "40039f7b",
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "loader.load()"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "id": "18e5af2b",
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|    "metadata": {},
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|    "outputs": [],
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|    "source": []
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|   }
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|  ],
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|  "metadata": {
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|   "kernelspec": {
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|    "display_name": "Python 3 (ipykernel)",
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|    "language": "python",
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|    "name": "python3"
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|   },
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|   "language_info": {
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|    "codemirror_mode": {
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|     "name": "ipython",
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|     "version": 3
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|    },
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|    "file_extension": ".py",
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|    "mimetype": "text/x-python",
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|    "name": "python",
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|    "nbconvert_exporter": "python",
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|    "pygments_lexer": "ipython3",
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|    "version": "3.10.6"
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|   }
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|  },
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|  "nbformat": 4,
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|  "nbformat_minor": 5
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| }
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