This chapter will introduce LangChain's Expression Langauge (LCEL). We'll focus on understanding how LCEL works under the hood and how it is implemented with OpenAI's LLMs.
We'll compare LCEL against the traditional methods. We will build a pipeline where the user inputs a specific topic, and then the LLM looks for and returns a report on the specified topic. This generates a research report for the user.
🔗 Full Course: https://www.aurelio.ai/course/langchain
📌 Article and Code: https://www.jamesbriggs.io/langchain-lcel
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#ai #langchain #programming #aiagents
00:00 LangChain Expression Language
00:58 Traditional Chains in LangChain
03:02 LangChain LCEL
03:55 LCEL Pipe Operator
09:09 LangChain RunnableLambda
12:41 LCEL Runnable Parallel and Passthrough
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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