embedchain
145 строк · 3.2 Кб
1{
2"cells": [
3{
4"cell_type": "markdown",
5"metadata": {
6"id": "b02n_zJ_hl3d"
7},
8"source": [
9"## Cookbook for using ElasticSearchDB 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"id": "-NbXjAdlh0vJ"
26},
27"outputs": [],
28"source": [
29"!pip install embedchain[elasticsearch]"
30]
31},
32{
33"cell_type": "markdown",
34"metadata": {
35"id": "nGnpSYAAh2bQ"
36},
37"source": [
38"### Step-2: Set OpenAI environment variables.\n",
39"\n",
40"You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys)."
41]
42},
43{
44"cell_type": "code",
45"execution_count": null,
46"metadata": {
47"id": "0fBdQ9GAiRvK"
48},
49"outputs": [],
50"source": [
51"import os\n",
52"from embedchain import App\n",
53"\n",
54"os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\""
55]
56},
57{
58"cell_type": "markdown",
59"metadata": {
60"id": "PGt6uPLIi1CS"
61},
62"source": [
63"### Step-3 Create embedchain app and define your config"
64]
65},
66{
67"cell_type": "code",
68"execution_count": null,
69"metadata": {
70"id": "Amzxk3m-i3tD"
71},
72"outputs": [],
73"source": [
74"app = App.from_config(config={\n",
75" \"provider\": \"elasticsearch\",\n",
76" \"config\": {\n",
77" \"collection_name\": \"es-index\",\n",
78" \"es_url\": \"your-elasticsearch-url.com\",\n",
79" \"allow_reset\": True,\n",
80" \"api_key\": \"xxx\"\n",
81" }\n",
82"})"
83]
84},
85{
86"cell_type": "markdown",
87"metadata": {
88"id": "XNXv4yZwi7ef"
89},
90"source": [
91"### Step-4: Add data sources to your app"
92]
93},
94{
95"cell_type": "code",
96"execution_count": null,
97"metadata": {
98"id": "Sn_0rx9QjIY9"
99},
100"outputs": [],
101"source": [
102"app.add(\"https://www.forbes.com/profile/elon-musk\")"
103]
104},
105{
106"cell_type": "markdown",
107"metadata": {
108"id": "_7W6fDeAjMAP"
109},
110"source": [
111"### Step-5: All set. Now start asking questions related to your data"
112]
113},
114{
115"cell_type": "code",
116"execution_count": null,
117"metadata": {
118"id": "cvIK7dWRjN_f"
119},
120"outputs": [],
121"source": [
122"while(True):\n",
123" question = input(\"Enter question: \")\n",
124" if question in ['q', 'exit', 'quit']:\n",
125" break\n",
126" answer = app.query(question)\n",
127" print(answer)"
128]
129}
130],
131"metadata": {
132"colab": {
133"provenance": []
134},
135"kernelspec": {
136"display_name": "Python 3",
137"name": "python3"
138},
139"language_info": {
140"name": "python"
141}
142},
143"nbformat": 4,
144"nbformat_minor": 0
145}
146