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add everyting for docs
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75
docs/extras/integrations/document_loaders/acreom.ipynb
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75
docs/extras/integrations/document_loaders/acreom.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "e310c8dc-acd0-48d2-801c-f37ce99acd2d",
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"metadata": {},
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"source": [
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"# acreom"
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]
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},
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{
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"cell_type": "markdown",
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"id": "04a2c95d-4114-431e-904a-32d79005c28b",
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"metadata": {},
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"source": [
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"[acreom](https://acreom.com) is a dev-first knowledge base with tasks running on local markdown files.\n",
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"\n",
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"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",
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"\n",
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"Vault files may contain some metadata which is stored as a YAML header. These values will be added to the document’s metadata if `collect_metadata` is set to true. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0169bee5-aa7a-4ec7-b7e7-b3bb2e58f3bb",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import AcreomLoader"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c1b49ab3-616b-4149-bef5-7559d65d3d2b",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = AcreomLoader(\"<path-to-acreom-vault>\", collect_metadata=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3127a018-9c1c-4886-8321-f5666d970a95",
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"metadata": {},
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"outputs": [],
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"source": [
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"docs = loader.load()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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