Generative AI Components in LangChain
Last Updated on October 18, 2025 by Editorial Team
Author(s): Rashmi
Originally published on Towards AI.
The components of LangChain for GenAI application development
LangChain is a framework for developing applications powered by language models. It provides tools and abstractions to make it easier to build LLM-powered applications.
This article explored the GenAI components in LangChain for Large Language Models (LLMs) and aimed to provide a clearer understanding of Generative AI. The author discusses various concepts such as chains, prompts, models, memory, and agents, detailing their roles and use cases in building efficient applications. Additionally, the article covers common challenges faced in implementing generative AI and solutions to enhance the performance and reliability of these systems.
Read the full blog for free on Medium.
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