About LangChain

Using language models like ChatGPT and Bard is simple, but making full AI applications often means combining different tools, which can be hard. That's where LangChain helps. It's like a toolbox that makes building powerful AI apps easier. You don't have to do a lot of complicated coding or set up complex stuff. LangChain makes it simpler by handling the integration part for you. You can build amazing things like chatbots, document summarization tools, and automated web Research.

What is LangChain?

It is an open-source framework that enables developers to combine large language models, such as GPT-4, with external sources of computation and data. Offered as a Python or JavaScript package.

Capabilities of the applications built ?

It is a framework for Python and JavaScript that simplifies the development of applications powered by generative AI and large language models.

These applications are:

Aware of the context:This means that applications can connect to different sources of information, for example, prompts or content, giving them a way to understand what is going on around them.

Capable of reasoning:The application can be connected to a large language model like OpenAI, Cohere, or Hugging Face. This enables the application to answer based on the context it is given.

Applications created with LangChain, explore

LangChain Framework Overview

It has six components that help to build the application for a specific use case.

Model I/O (Input/Output):

This works as the communication link between the LangChain and the selected language model. It helps in managing the instructions, asking questions, and getting answers.

Continue reading the full article to learn how to get started with in building an AI Agent.