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add everyting for docs

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ishaan-jaff 2023-07-29 07:00:13 -07:00
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docs/extras/integrations/document_loaders/duckdb.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# DuckDB\n",
"\n",
">[DuckDB](https://duckdb.org/) is an in-process SQL OLAP database management system.\n",
"\n",
"Load a `DuckDB` query with one document per row."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#!pip install duckdb"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.document_loaders import DuckDBLoader"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Writing example.csv\n"
]
}
],
"source": [
"%%file example.csv\n",
"Team,Payroll\n",
"Nationals,81.34\n",
"Reds,82.20"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"loader = DuckDBLoader(\"SELECT * FROM read_csv_auto('example.csv')\")\n",
"\n",
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Document(page_content='Team: Nationals\\nPayroll: 81.34', metadata={}), Document(page_content='Team: Reds\\nPayroll: 82.2', metadata={})]\n"
]
}
],
"source": [
"print(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Specifying Which Columns are Content vs Metadata"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"loader = DuckDBLoader(\n",
" \"SELECT * FROM read_csv_auto('example.csv')\",\n",
" page_content_columns=[\"Team\"],\n",
" metadata_columns=[\"Payroll\"],\n",
")\n",
"\n",
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Document(page_content='Team: Nationals', metadata={'Payroll': 81.34}), Document(page_content='Team: Reds', metadata={'Payroll': 82.2})]\n"
]
}
],
"source": [
"print(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Adding Source to Metadata"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"loader = DuckDBLoader(\n",
" \"SELECT Team, Payroll, Team As source FROM read_csv_auto('example.csv')\",\n",
" metadata_columns=[\"source\"],\n",
")\n",
"\n",
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Document(page_content='Team: Nationals\\nPayroll: 81.34\\nsource: Nationals', metadata={'source': 'Nationals'}), Document(page_content='Team: Reds\\nPayroll: 82.2\\nsource: Reds', metadata={'source': 'Reds'})]\n"
]
}
],
"source": [
"print(data)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}