LangChain is one of the most popular open-source libraries for AI Engineers. Its goal is to abstract away the complexity of building AI software, provide easy-to-use building blocks, and facilitate switching between AI service providers.
In this chapter, we will introduce LangChain by building a simple LLM-powered assistant.
📌 Full Course: https://www.aurelio.ai/course/langchain
➤ Repo: https://github.com/aurelio-labs/langchain-course
📖 Article: https://www.jamesbriggs.io/langchain-intro
👾 Discord:
https://discord.gg/c5QtDB9RAP
Twitter: https://twitter.com/jamescalam
LinkedIn: https://www.linkedin.com/in/jamescalam/
#ai #coding #aiagents #langchain
00:00 Getting Started with LangChain
00:46 Local Setup
03:32 Colab Setup
04:43 Initializing our OpenAI LLMs
09:06 LLM Prompting
10:31 LangChain Prompt Templates
15:20 Creating a LLM Chain with LCEL
20:31 Another Text Generation Pipeline
23:43 Structured Outputs in LangChain
28:27 Image Generation in LangChain
Choose to Build with AI
Matched to LangChain Chatbot
AI Maker Residence 3
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code.
Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
◆ Fri 09 Oct 2026◆ KOKO Cafe, London◆ With Nick Sarafa
