Understand langChain to Quickly Get Started with Production Codebases


artificial intelligence

LangChain is a superb library to productionize LLMs. It has few concepts which make it great. If you want to quickly get started with LangChain as maybe like me you have production in front of you, then i hope that this post will help!

First, we know that LangChain has few components.

The components are used to build chains.

chain3

Then, we have the concept of agent, which takes a lot of components, including a chain to perform tasks.

agent

Finally, you can also add your own data store and knowledge base to prevent hallucinations.

ownstore

Written by

Abdur-Rahmaan Janhangeer

Chef

Python author of 9+ years having worked for Python companies around the world

Suggested Posts

Chat with your own data/text files using chatGPT and LangChain

There are many different approaches to chatting with your own data. One way is to upload your PDF t...

Read article

How to run Tencent's Hunyuan Video model using Python

Table of content What is HunYuan Video model? How does it differ from competitors? Architectural no...

Read article

Python EFL: Building Custom Elementary Widgets (2026)

Want to create unique UI components tailored to your app’s needs? This Python EFL tutorial teaches y...

Read article
Free Flask Course