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#1	{
#2	"cells": [
#3	{
#4	"cell_type": "markdown",
#5	"metadata": {
#6	"id": "b02n_zJ_hl3d"
#7	},
#8	"source": [
#9	"## Cookbook for using Cohere with Embedchain"
#10	]
#11	},
#12	{
#13	"cell_type": "markdown",
#14	"metadata": {
#15	"id": "gyJ6ui2vhtMY"
#16	},
#17	"source": [
#18	"### Step-1: Install embedchain package"
#19	]
#20	},
#21	{
#22	"cell_type": "code",
#23	"execution_count": null,
#24	"metadata": {
#25	"colab": {
#26	"base_uri": "https://localhost:8080/"
#27	},
#28	"id": "-NbXjAdlh0vJ",
#29	"outputId": "fae77912-4e6a-4c78-fcb7-fbbe46f7a9c7"
#30	},
#31	"outputs": [],
#32	"source": [
#33	"!pip install embedchain[together]"
#34	]
#35	},
#36	{
#37	"cell_type": "markdown",
#38	"metadata": {
#39	"id": "nGnpSYAAh2bQ"
#40	},
#41	"source": [
#42	"### Step-2: Set Cohere related environment variables\n",
#43	"\n",
#44	"You can find `OPENAI_API_KEY` on your [OpenAI dashboard](https://platform.openai.com/account/api-keys) and `TOGETHER_API_KEY` key on your [Together dashboard](https://api.together.xyz/settings/api-keys)."
#45	]
#46	},
#47	{
#48	"cell_type": "code",
#49	"execution_count": 1,
#50	"metadata": {
#51	"id": "0fBdQ9GAiRvK"
#52	},
#53	"outputs": [],
#54	"source": [
#55	"import os\n",
#56	"from embedchain import App\n",
#57	"\n",
#58	"os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
#59	"os.environ[\"TOGETHER_API_KEY\"] = \"\""
#60	]
#61	},
#62	{
#63	"cell_type": "markdown",
#64	"metadata": {
#65	"id": "PGt6uPLIi1CS"
#66	},
#67	"source": [
#68	"### Step-3 Create embedchain app and define your config"
#69	]
#70	},
#71	{
#72	"cell_type": "code",
#73	"execution_count": 3,
#74	"metadata": {
#75	"colab": {
#76	"base_uri": "https://localhost:8080/",
#77	"height": 321
#78	},
#79	"id": "Amzxk3m-i3tD",
#80	"outputId": "afe8afde-5cb8-46bc-c541-3ad26cc3fa6e"
#81	},
#82	"outputs": [],
#83	"source": [
#84	"app = App.from_config(config={\n",
#85	" \"provider\": \"together\",\n",
#86	" \"config\": {\n",
#87	" \"model\": \"mistralai/Mixtral-8x7B-Instruct-v0.1\",\n",
#88	" \"temperature\": 0.5,\n",
#89	" \"max_tokens\": 1000\n",
#90	" }\n",
#91	"})"
#92	]
#93	},
#94	{
#95	"cell_type": "markdown",
#96	"metadata": {
#97	"id": "XNXv4yZwi7ef"
#98	},
#99	"source": [
#100	"### Step-4: Add data sources to your app"
#101	]
#102	},
#103	{
#104	"cell_type": "code",
#105	"execution_count": 4,
#106	"metadata": {
#107	"colab": {
#108	"base_uri": "https://localhost:8080/",
#109	"height": 176
#110	},
#111	"id": "Sn_0rx9QjIY9",
#112	"outputId": "2f2718a4-3b7e-4844-fd46-3e0857653ca0"
#113	},
#114	"outputs": [
#115	{
#116	"name": "stderr",
#117	"output_type": "stream",
#118	"text": [
#119	"Inserting batches in chromadb: 100%\|██████████\| 1/1 [00:01<00:00, 1.16s/it]"
#120	]
#121	},
#122	{
#123	"name": "stdout",
#124	"output_type": "stream",
#125	"text": [
#126	"Successfully saved https://www.forbes.com/profile/elon-musk (DataType.WEB_PAGE). New chunks count: 4\n"
#127	]
#128	},
#129	{
#130	"name": "stderr",
#131	"output_type": "stream",
#132	"text": [
#133	"\n"
#134	]
#135	},
#136	{
#137	"data": {
#138	"text/plain": [
#139	"'8cf46026cabf9b05394a2658bd1fe890'"
#140	]
#141	},
#142	"execution_count": 4,
#143	"metadata": {},
#144	"output_type": "execute_result"
#145	}
#146	],
#147	"source": [
#148	"app.add(\"https://www.forbes.com/profile/elon-musk\")"
#149	]
#150	},
#151	{
#152	"cell_type": "markdown",
#153	"metadata": {
#154	"id": "_7W6fDeAjMAP"
#155	},
#156	"source": [
#157	"### Step-5: All set. Now start asking questions related to your data"
#158	]
#159	},
#160	{
#161	"cell_type": "code",
#162	"execution_count": null,
#163	"metadata": {
#164	"colab": {
#165	"base_uri": "https://localhost:8080/"
#166	},
#167	"id": "cvIK7dWRjN_f",
#168	"outputId": "79e873c8-9594-45da-f5a3-0a893511267f"
#169	},
#170	"outputs": [],
#171	"source": [
#172	"while(True):\n",
#173	" question = input(\"Enter question: \")\n",
#174	" if question in ['q', 'exit', 'quit']:\n",
#175	" break\n",
#176	" answer = app.query(question)\n",
#177	" print(answer)"
#178	]
#179	},
#180	{
#181	"cell_type": "code",
#182	"execution_count": null,
#183	"metadata": {},
#184	"outputs": [],
#185	"source": []
#186	}
#187	],
#188	"metadata": {
#189	"colab": {
#190	"provenance": []
#191	},
#192	"kernelspec": {
#193	"display_name": "Python 3",
#194	"name": "python3"
#195	},
#196	"language_info": {
#197	"codemirror_mode": {
#198	"name": "ipython",
#199	"version": 3
#200	},
#201	"file_extension": ".py",
#202	"mimetype": "text/x-python",
#203	"name": "python",
#204	"nbconvert_exporter": "python",
#205	"pygments_lexer": "ipython3",
#206	"version": "3.11.4"
#207	}
#208	},
#209	"nbformat": 4,
#210	"nbformat_minor": 0
#211	}
#212

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