Articles filed in category 'Large Language Models'

  • Exploring LangChain: A Practical Approach to Language Models and Retrieval-Augmented Generation (RAG)

    By: Wei-Meng Lee

    Last updated: Thursday, December 19, 2024

    Published in: CODE Magazine: 2025 - Jan/Feb

    Wei-Meng Lee provides an in-depth guide to using the LangChain framework for building applications incorporating large language models (LLMs). He emphasizes LangChain's modular design, enabling developers to create complex workflows with customizable components and integrate external data sources, facilitating Retrieval-Augmented Generation. Key topics covered include constructing chains, maintaining conversational context with memory management, and leveraging Microsoft and Hugging Face's models for enhanced flexibility and privacy. Wei-Meng also demonstrates implementing RAG for document-based querying, offering a comprehensive overview of LangChain's capabilities for developing dynamic, data-driven solutions.