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Add use case nb position (langchain-ai#10299)
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@baskaryan @rsharath
baskaryan authored and rsharath committed Sep 7, 2023
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5 changes: 0 additions & 5 deletions docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx
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19 changes: 13 additions & 6 deletions docs/extras/use_cases/apis.ipynb
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{
"cells": [
{
"cell_type": "raw",
"id": "ea5c61b2-8b52-4270-bdb0-c4df88608f15",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: Interacting with APIs\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "a15e6a18",
"metadata": {},
"source": [
"# Interacting with APIs\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/apis.ipynb)\n",
"\n",
"## Use case \n",
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"cell_type": "code",
"execution_count": 2,
"id": "30b780e3",
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [
{
"name": "stderr",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.9.1"
}
},
"nbformat": 4,
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13 changes: 11 additions & 2 deletions docs/extras/use_cases/chatbots.ipynb
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{
"cells": [
{
"cell_type": "raw",
"id": "22fd28c9-9b48-476c-bca8-20efef7fdb14",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: Chatbots\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "ee7f95e4",
"metadata": {},
"source": [
"# Chatbots\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/chatbots.ipynb)\n",
"\n",
"## Use case\n",
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14 changes: 11 additions & 3 deletions docs/extras/use_cases/code_understanding.ipynb
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{
"cells": [
{
"cell_type": "raw",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: Code understanding\n",
"---"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Code Understanding\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/code_understanding.ipynb)\n",
"\n",
"## Use case\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.9.1"
}
},
"nbformat": 4,
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15 changes: 12 additions & 3 deletions docs/extras/use_cases/extraction.ipynb
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{
"cells": [
{
"cell_type": "raw",
"id": "df29b30a-fd27-4e08-8269-870df5631f9e",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: Extraction\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "b84edb4e",
"metadata": {},
"source": [
"# Extraction\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/extraction.ipynb)\n",
"\n",
"## Use case\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.9.1"
}
},
"nbformat": 4,
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1 change: 1 addition & 0 deletions docs/extras/use_cases/more/_category_.yml
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label: 'More'
position: 2
22 changes: 13 additions & 9 deletions docs/extras/use_cases/sql.ipynb
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{
"cells": [
{
"cell_type": "raw",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: SQL\n",
"---"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# SQL\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/sql.ipynb)\n",
"\n",
"## Use case\n",
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{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
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{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.17"
"version": "3.9.1"
}
},
"nbformat": 4,
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15 changes: 12 additions & 3 deletions docs/extras/use_cases/summarization.ipynb
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{
"cells": [
{
"cell_type": "raw",
"id": "2aca8168-62ec-4bba-93f0-73da08cd1920",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: Summarization\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "cf13f702",
"metadata": {},
"source": [
"# Summarization\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/summarization.ipynb)\n",
"\n",
"## Use case\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.9.1"
}
},
"nbformat": 4,
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15 changes: 12 additions & 3 deletions docs/extras/use_cases/tagging.ipynb
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{
"cells": [
{
"cell_type": "raw",
"id": "cb6f552e-775f-4d84-bc7c-dca94c06a33c",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: Tagging\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "a0507a4b",
"metadata": {},
"source": [
"# Tagging\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/tagging.ipynb)\n",
"\n",
"## Use case\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.9.1"
}
},
"nbformat": 4,
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19 changes: 13 additions & 6 deletions docs/extras/use_cases/web_scraping.ipynb
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{
"cells": [
{
"cell_type": "raw",
"id": "e254cf03-49fc-4051-a4df-3a8e4e7d2688",
"metadata": {},
"source": [
"---\n",
"sidebar_position: 1\n",
"title: Web scraping\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "6605e7f7",
"metadata": {},
"source": [
"# Web Scraping\n",
"\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/extras/use_cases/web_scraping.ipynb)\n",
"\n",
"## Use case\n",
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"cell_type": "code",
"execution_count": 7,
"id": "977560ba",
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.9.1"
}
},
"nbformat": 4,
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