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fa5d49f2c1
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 ```
95 lines
1.7 KiB
Plaintext
95 lines
1.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "23c6e167",
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"metadata": {},
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"source": [
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"# Concurrent Loader\n",
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"\n",
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"Works just like the GenericLoader but concurrently for those who choose to optimize their workflow.\n"
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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": 3,
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"id": "6ff3fb1f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_community.document_loaders import ConcurrentLoader"
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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": 8,
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"id": "ce96fa20",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = ConcurrentLoader.from_filesystem(\"example_data/\", glob=\"**/*.txt\")"
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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": 9,
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"id": "06a6cf5d",
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"metadata": {},
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"outputs": [],
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"source": [
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"files = loader.load()"
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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": 12,
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"id": "b87d3e58",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"2"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(files)"
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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": "668f1ee5",
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.9.1"
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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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