langchain/docs/docs/integrations/document_loaders/concurrent.ipynb
Bagatur fa5d49f2c1
docs, experimental[patch], langchain[patch], community[patch]: update storage imports (#15429)
ran 
```bash
g grep -l "langchain.vectorstores" | xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g"
g grep -l "langchain.document_loaders" | xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g"
g grep -l "langchain.chat_loaders" | xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g"
g grep -l "langchain.document_transformers" | xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g"
g grep -l "langchain\.graphs" | xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g"
g grep -l "langchain\.memory\.chat_message_histories" | xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g"
gco master libs/langchain/tests/unit_tests/*/test_imports.py
gco master libs/langchain/tests/unit_tests/**/test_public_api.py
```
2024-01-02 16:47:11 -05:00

95 lines
1.7 KiB
Plaintext

{
"cells": [
{
"cell_type": "markdown",
"id": "23c6e167",
"metadata": {},
"source": [
"# Concurrent Loader\n",
"\n",
"Works just like the GenericLoader but concurrently for those who choose to optimize their workflow.\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "6ff3fb1f",
"metadata": {},
"outputs": [],
"source": [
"from langchain_community.document_loaders import ConcurrentLoader"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "ce96fa20",
"metadata": {},
"outputs": [],
"source": [
"loader = ConcurrentLoader.from_filesystem(\"example_data/\", glob=\"**/*.txt\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "06a6cf5d",
"metadata": {},
"outputs": [],
"source": [
"files = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b87d3e58",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(files)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "668f1ee5",
"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": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}