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smart text splitter (#530)
smart text splitter that iteratively tries different separators until it works!
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@@ -90,6 +90,61 @@
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"print(texts[0])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1be00b73",
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"metadata": {},
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"source": [
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"## Recursive Character Text Splitting\n",
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"Sometimes, it's not enough to split on just one character. This text splitter uses a whole list of characters and recursive splits them down until they are under the limit."
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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": "1ac6376d",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.text_splitter import RecursiveCharacterTextSplitter"
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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": "6787b13b",
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"metadata": {},
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"outputs": [],
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"source": [
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"text_splitter = RecursiveCharacterTextSplitter(\n",
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" # Set a really small chunk size, just to show.\n",
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" chunk_size = 100,\n",
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" chunk_overlap = 20,\n",
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" length_function = len,\n",
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")"
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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": "4f0e7d9b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Madam Speaker, Madam Vice President, our First Lady and Second Gentleman. Members of Congress and the Cabinet.\n",
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"and the Cabinet. Justices of the Supreme Court. My fellow Americans. \n"
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]
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}
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],
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"source": [
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"texts = text_splitter.split_text(state_of_the_union)\n",
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"print(texts[0])\n",
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"print(texts[1])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "87a71115",
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