Скачать или смотреть Other Parsers CSV, JSON, Pandas, Datetime (5.2)

In this video, we dive into the versatility of LangChain's parsers, which are designed to handle various data formats including comma-separated lists, JSON structures, Pandas dataframes, and datetime objects. These parsers enhance LangChain's functionality, making it an invaluable tool for data manipulation and analysis across a wide range of applications. We demonstrate practical examples of each parser, showing how they can streamline processes and provide structured, meaningful insights from LLM outputs.

We begin by exploring the CommaSeparatedListOutputParser, which converts comma-separated text into Python lists, followed by the JsonOutputParser that formats LLM outputs into structured JSON objects. Next, we examine how LangChain can parse and analyze data stored in Pandas dataframes, enabling natural language-based queries to extract data insights. Finally, we showcase the DatetimeOutputParser, which standardizes and interprets dates and times from text, crucial for applications that require precise handling of temporal data. This video provides a comprehensive guide to leveraging these parsers for efficient data processing within LangChain.

Code for This Video:
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