LangChain for Life Science

Chapter 2. Introducing LangChain

A Note for Early Release Readers

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After looking at all the pros and cons of using LLMs, it’s safe to say that surrounding a language model with powerful tools and components would significantly boost the capabilities of a generative AI application. And this is exactly what LangChain is - a comprehensive framework for application development with large language models.

The framework’s name, a blend of language and chain, reflects its core principle of chaining modular components together to build complex applications. By abstracting standard tasks and providing pre-built components and templates for various applications (for example, chatbots, summarization tools, question-answering systems, and so on), LangChain aims to lower the barrier to entry for developers interested in leveraging the power of language models. This not only simplifies the development process but also encourages experimentation and innovation within the community. ...