mirror of
https://github.com/hwchase17/langchain
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c998569c8f
#docs: text splitters improvements
Changes are only in the Jupyter notebooks.
- added links to the source packages and a short description of these
packages
- removed " Text Splitters" suffixes from the TOC elements (they made
the list of the text splitters messy)
- moved text splitters, based on the length function into a separate
list. They can be mixed with any classes from the "Text Splitters", so
it is a different classification.
## Who can review?
@hwchase17 - project lead
@eyurtsev
@vowelparrot
NOTE: please, check out the results of the `Python code` text splitter
example (text_splitters/examples/python.ipynb). It looks suboptimal.
144 lines
3.1 KiB
Plaintext
144 lines
3.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "c350765d",
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"metadata": {},
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"source": [
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"# Python Code\n",
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"\n",
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"`PythonCodeTextSplitter` splits text along python class and method definitions. It's implemented as a simple subclass of `RecursiveCharacterSplitter` with Python-specific separators. See the source code to see the Python syntax expected by default.\n",
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"\n",
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"1. How the text is split: by list of python specific separators\n",
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"2. How the chunk size is measured: by number of characters"
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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": 1,
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"id": "1703463f",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"from langchain.text_splitter import PythonCodeTextSplitter"
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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": 2,
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"id": "f17a1854",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"python_text = \"\"\"\n",
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"class Foo:\n",
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"\n",
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" def bar():\n",
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" \n",
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" \n",
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"def foo():\n",
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"\n",
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"def testing_func():\n",
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"\n",
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"def bar():\n",
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"\"\"\"\n",
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"python_splitter = PythonCodeTextSplitter(chunk_size=30, chunk_overlap=0)"
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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": "6cdc55f3",
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"metadata": {},
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"outputs": [],
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"source": [
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"docs = python_splitter.create_documents([python_text])"
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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": 4,
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"id": "8cc33770",
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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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"[Document(page_content='Foo:\\n\\n def bar():', lookup_str='', metadata={}, lookup_index=0),\n",
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" Document(page_content='foo():\\n\\ndef testing_func():', lookup_str='', metadata={}, lookup_index=0),\n",
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" Document(page_content='bar():', lookup_str='', metadata={}, lookup_index=0)]"
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]
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},
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"execution_count": 4,
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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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"docs"
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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": "de625e08-c440-489d-beed-020b6c53bf69",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['Foo:\\n\\n def bar():', 'foo():\\n\\ndef testing_func():', 'bar():']"
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]
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},
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"execution_count": 3,
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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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"python_splitter.split_text(python_text)"
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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": "55aadd84-75ca-48ae-9b84-b39c368488ed",
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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": "3.10.6"
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},
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"vscode": {
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"interpreter": {
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"hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
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}
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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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