langchain/docs/extras/integrations/document_loaders/acreom.ipynb
2023-07-23 23:23:16 -07:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "e310c8dc-acd0-48d2-801c-f37ce99acd2d",
"metadata": {},
"source": [
"# acreom"
]
},
{
"cell_type": "markdown",
"id": "04a2c95d-4114-431e-904a-32d79005c28b",
"metadata": {},
"source": [
"[acreom](https://acreom.com) is a dev-first knowledge base with tasks running on local markdown files.\n",
"\n",
"Below is an example on how to load a local acreom vault into Langchain. As the local vault in acreom is a folder of plain text .md files, the loader requires the path to the directory. \n",
"\n",
"Vault files may contain some metadata which is stored as a YAML header. These values will be added to the documents metadata if `collect_metadata` is set to true. "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0169bee5-aa7a-4ec7-b7e7-b3bb2e58f3bb",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import AcreomLoader"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c1b49ab3-616b-4149-bef5-7559d65d3d2b",
"metadata": {},
"outputs": [],
"source": [
"loader = AcreomLoader(\"<path-to-acreom-vault>\", collect_metadata=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3127a018-9c1c-4886-8321-f5666d970a95",
"metadata": {},
"outputs": [],
"source": [
"docs = loader.load()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
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"file_extension": ".py",
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