5 Components of LangChain: A Beginner’s Guide that will help you build LLM applications

Demystifying LangChain: A foundational tutorial for building with LLMs

LangChain is a popular open source framework for building Large Language Model (LLM) applications

It became one of the most popular projects on GitHub in 2023 and has made developing LLM applications easier. Use cases for LangChain and LLM applications include summarization, chatbots, and code analysis. There are multiple components that enable LangChain.

Now, let’s dive in.

Component #1: LLM

LLMs generate responses to queries.

For example, an LLM can answer a question that you provide using a text based prompt. LangChain does not supply an LLM but it provides an interface for interacting with LLMs. You provide an LLM, such as Google Gemini or GPT-3.5, and you can swap models in and out since LangChain acts as an abstraction layer.

LLMs are a core component of LangChain.

Component #2: Prompts

Prompts are the instructions for the LLM.

A well constructed prompt involves multiple elements which may not be known to beginners…