LangChain Expression Language (LCEL)

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 💡 Subscribe for Latest Courses and Tutorials: https://www.aurelio.ai/subscribe 👋🏼 AI Consulting: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ #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