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docs: Documentation update for Document Parse (#26844)

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Renamed `Layout Analysis` to `Document Parser` in the doc as we have
recently renamed it!

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
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Sean 2024-10-03 13:36:04 -07:00 committed by GitHub
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2 changed files with 9 additions and 9 deletions
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8
docs/docs/integrations/document_loaders/upstage.ipynb
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@ -25,9 +25,9 @@
}
},
"source": [
"# UpstageLayoutAnalysisLoader\n",
"# UpstageDocumentParseLoader\n",
"\n",
"This notebook covers how to get started with `UpstageLayoutAnalysisLoader`.\n",
"This notebook covers how to get started with `UpstageDocumentParseLoader`.\n",
"\n",
"## Installation\n",
"\n",
@ -89,10 +89,10 @@
}
],
"source": [
"from langchain_upstage import UpstageLayoutAnalysisLoader\n",
"from langchain_upstage import UpstageDocumentParseLoader\n",
"\n",
"file_path = \"/PATH/TO/YOUR/FILE.pdf\"\n",
"layzer = UpstageLayoutAnalysisLoader(file_path, split=\"page\")\n",
"layzer = UpstageDocumentParseLoader(file_path, split=\"page\")\n",
"\n",
"# For improved memory efficiency, consider using the lazy_load method to load documents page by page.\n",
"docs = layzer.load() # or layzer.lazy_load()\n",

10
docs/docs/integrations/providers/upstage.ipynb
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@ -10,7 +10,7 @@
">\n",
">**Solar Mini Chat** is a fast yet powerful advanced large language model focusing on English and Korean. It has been specifically fine-tuned for multi-turn chat purposes, showing enhanced performance across a wide range of natural language processing tasks, like multi-turn conversation or tasks that require an understanding of long contexts, such as RAG (Retrieval-Augmented Generation), compared to other models of a similar size. This fine-tuning equips it with the ability to handle longer conversations more effectively, making it particularly adept for interactive applications.\n",
"\n",
">Other than Solar, Upstage also offers features for real-world RAG (retrieval-augmented generation), such as **Groundedness Check** and **Layout Analysis**. \n"
">Other than Solar, Upstage also offers features for real-world RAG (retrieval-augmented generation), such as **Document Parse** and **Groundedness Check**. \n"
]
},
{
@ -24,7 +24,7 @@
"| Chat | Build assistants using Solar Mini Chat | `from langchain_upstage import ChatUpstage` | [Go](../../chat/upstage) |\n",
"| Text Embedding | Embed strings to vectors | `from langchain_upstage import UpstageEmbeddings` | [Go](../../text_embedding/upstage) |\n",
"| Groundedness Check | Verify groundedness of assistant's response | `from langchain_upstage import UpstageGroundednessCheck` | [Go](../../tools/upstage_groundedness_check) |\n",
"| Layout Analysis | Serialize documents with tables and figures | `from langchain_upstage import UpstageLayoutAnalysisLoader` | [Go](../../document_loaders/upstage) |\n",
"| Document Parse | Serialize documents with tables and figures | `from langchain_upstage import UpstageDocumentParseLoader` | [Go](../../document_loaders/upstage) |\n",
"\n",
"See [documentations](https://developers.upstage.ai/) for more details about the features."
]
@ -122,7 +122,7 @@
"source": [
"## Document loader\n",
"\n",
"### Layout Analysis\n",
"### Document Parse\n",
"\n",
"See [a usage example](/docs/integrations/document_loaders/upstage)."
]
@ -133,10 +133,10 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain_upstage import UpstageLayoutAnalysisLoader\n",
"from langchain_upstage import UpstageDocumentParseLoader\n",
"\n",
"file_path = \"/PATH/TO/YOUR/FILE.pdf\"\n",
"layzer = UpstageLayoutAnalysisLoader(file_path, split=\"page\")\n",
"layzer = UpstageDocumentParseLoader(file_path, split=\"page\")\n",
"\n",
"# For improved memory efficiency, consider using the lazy_load method to load documents page by page.\n",
"docs = layzer.load() # or layzer.lazy_load()\n",