September 2025
Intermediate to advanced
528 pages
13h 26m
English
Content preview from Textual Intelligence
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14LegalEase: Application Development with LangChain Framework
Nidhi Malik1*, Lakshita Chhikara2, Abhilakshay1 and Ambika Thakur1
1The NorthCap University, Gurugram, India
2Kinetik, New York, USA
Abstract
This chapter aims at giving a detailed account of large language models (LLMs), a type of AI systems that has been developed to mimic human language understanding and generation from large volumes of text data. It focuses on the advantages of LLMs, including better natural language processing, better automation, and new applications. One of the primary emphases of the chapter is LangChain, a versatile tool to enhance the effectiveness of LLMs across a wide spectrum of tasks. In this paper, the operations of LangChain are explained to show how it works in conjunction with LLMs in enhancing efficiency. The major concepts of LangChain, including the modularity of the architecture and the stability of the API, are described. Target audiences who may find it useful are developers and researchers who are interested in understanding more about LangChain. It also expounds on app development with LangChain and includes a live demonstration of how the framework can be used to construct intricate and innovative solutions using LLMs.
Keywords: LLMs, LangChain, NLP, AI, text generation
14.1 Introduction
In the realm of artificial intelligence, there has been a shift through the large language model paradigm that step-change how humans and machines interact and process language. These ...
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