advances in a variety of natural language', metadata={}),     Document(page_content='processing tasks, including language translation, text', metadata={}),     Document(page_content='generation, and sentiment analysis.', metadata={}),     Document(page_content='\\subsection{History of LLMs}', metadata={}),     Document(page_content='The earliest LLMs were developed in the 1980s and 1990s,', metadata={}),     Document(page_content='but they were limited by the amount of data that could be', metadata={}),     Document(page_content='processed and the computational power available at the', metadata={}),     Document(page_content='time. In the past decade, however, advances in hardware and', metadata={}),     Document(page_content='software have made it possible to train LLMs on massive', metadata={}),     Document(page_content='datasets, leading to significant improvements in', metadata={}),     Document(page_content='performance.', metadata={}),     Document(page_content='\\subsection{Applications of LLMs}', metadata={}),     Document(page_content='LLMs have many applications in industry, including', metadata={}),     Document(page_content='chatbots, content creation, and virtual assistants. They', metadata={}),     Document(page_content='can also be used in academia for research in linguistics,', metadata={}),     Document(page_content='psychology, and computational linguistics.', metadata={}),     Document(page_content='\\end{document}', metadata={})]HTML‚ÄãHere's an example using an HTML text splitter:html_text = """<!DOCTYPE html><html>    <head>        <title>ü¶úÔ∏èüîó LangChain</title>        <style>            body {                font-family: Arial, sans-serif;            }            h1 {                color: darkblue;            }        </style>    </head>    <body>        <div>            <h1>ü¶úÔ∏èüîó LangChain</h1>            <p>‚ö° Building applications with LLMs through composability ‚ö°</p>        </div>        <div>            As an open-source
CodeTextSplitter allows you to split your code with multiple languages supported. Import enum Language and specify the language.
CodeTextSplitter allows you to split your code with multiple languages supported. Import enum Language and specify the language. ->: advances in a variety of natural language', metadata={}),     Document(page_content='processing tasks, including language translation, text', metadata={}),     Document(page_content='generation, and sentiment analysis.', metadata={}),     Document(page_content='\\subsection{History of LLMs}', metadata={}),     Document(page_content='The earliest LLMs were developed in the 1980s and 1990s,', metadata={}),     Document(page_content='but they were limited by the amount of data that could be', metadata={}),     Document(page_content='processed and the computational power available at the', metadata={}),     Document(page_content='time. In the past decade, however, advances in hardware and', metadata={}),     Document(page_content='software have made it possible to train LLMs on massive', metadata={}),     Document(page_content='datasets, leading to significant improvements in', metadata={}),     Document(page_content='performance.', metadata={}),     Document(page_content='\\subsection{Applications of LLMs}', metadata={}),     Document(page_content='LLMs have many applications in industry, including', metadata={}),     Document(page_content='chatbots, content creation, and virtual assistants. They', metadata={}),     Document(page_content='can also be used in academia for research in linguistics,', metadata={}),     Document(page_content='psychology, and computational linguistics.', metadata={}),     Document(page_content='\\end{document}', metadata={})]HTML‚ÄãHere's an example using an HTML text splitter:html_text = """<!DOCTYPE html><html>    <head>        <title>ü¶úÔ∏èüîó LangChain</title>        <style>            body {                font-family: Arial, sans-serif;            }            h1 {                color: darkblue;            }        </style>    </head>    <body>        <div>            <h1>ü¶úÔ∏èüîó LangChain</h1>            <p>‚ö° Building applications with LLMs through composability ‚ö°</p>        </div>        <div>            As an open-source