langchain/docs/docs/integrations/tools/dataherald.ipynb
Kartheek Yakkala 18b8c8628a
docs : Added integrations for tools with langchain_community (#22056)
- **PR title**:  Docs enhancement

- **Description:** Adding installation instructions for integrations
requiring `langchain-community` package since 0.2
    - **Issue:** https://github.com/langchain-ai/langchain/issues/22005
2024-05-23 15:09:34 -04:00

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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"id": "245a954a",
"metadata": {},
"source": [
"# Dataherald\n",
"\n",
"This notebook goes over how to use the dataherald component.\n",
"\n",
"First, you need to set up your Dataherald account and get your API KEY:\n",
"\n",
"1. Go to dataherald and sign up [here](https://www.dataherald.com/)\n",
"2. Once you are logged in your Admin Console, create an API KEY\n",
"3. pip install dataherald\n",
"\n",
"Then we will need to set some environment variables:\n",
"1. Save your API KEY into DATAHERALD_API_KEY env variable"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "961b3689",
"metadata": {
"vscode": {
"languageId": "shellscript"
}
},
"outputs": [],
"source": [
"pip install dataherald\n",
"%pip install --upgrade --quiet langchain-community"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "34bb5968",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"os.environ[\"DATAHERALD_API_KEY\"] = \"\""
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "ac4910f8",
"metadata": {},
"outputs": [],
"source": [
"from langchain_community.utilities.dataherald import DataheraldAPIWrapper"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "84b8f773",
"metadata": {},
"outputs": [],
"source": [
"dataherald = DataheraldAPIWrapper(db_connection_id=\"65fb766367dd22c99ce1a12d\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "068991a6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'select COUNT(*) from employees'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataherald.run(\"How many employees are in the company?\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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": "3.9.7"
},
"vscode": {
"interpreter": {
"hash": "53f3bc57609c7a84333bb558594977aa5b4026b1d6070b93987956689e367341"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}