LangChain

• an open-source framework designed to streamline the development of apps leveraging LLMs
• acts as a toolbox that simplifies incorporating LLMs into various applications
• Key Features:
  • Modular Components:
    • LangChain offers a collection of reusable building blocks, like functions & classes, representing common tasks encountered when working with LLMs
    • easily combined to construct complex applications
    • makes development faster & less error-prone
  • Focus on Reusability:
    • Promotes code reusability by providing standardized interfaces for various functionalities
    • Allows developers to create easily integratable components
  • Data Augmented Generation:
    • Allows incorporation of external data sources into the LLM generation process
    • Useful for Q&A and summarizers, where LLM can access & leverage relevant info from outside sources to enhance its responses
  • Agent Design:
    • Provides tools to design intelligent agents that interacts with environment & make decisions based on LLM outputs
    • These agents can be programmed to take actions, receive observations from the environment, and use this information to iteratively perform tasks.
  • Memory Management:
    • Incorporates mechanisms to remember information across LLM interactions