A LangChain + OpenAI Complete Tutorial for Beginner — Lesson 3 Making Chatbots Smarter with LangChain Expression Language (LCEL)

Lorentz Yeung
10 min readFeb 7, 2024

Remarks: our tutorials use 100% working codes as in January 2024 with LangChain version 0.1.4, and OpenAI version 1.10.0.

Content:

  1. Introduction to Advanced Concepts LCEL
  2. Ensure the Environments
  3. Chatbot with LCEL
  4. Advancing with RAG Workflows
  5. Sequential chains with LCEL : a game changer
  6. Beyond Chatbots: Zero-Shot ReAct Agents
  7. Conclusion

1. Introduction to LCEL

Ever wondered how to make chatbots understand and respond more like humans? Well, that’s where LangChain Expression Language (LCEL) comes into play. It’s like giving your chatbot a turbo boost to understand and process information more efficiently.

Getting to Know LCEL

LCEL is a part of the LangChain toolkit designed to make text processing a breeze. Imagine it as a shortcut that helps your chatbot get smarter without the extra coding headache. It’s all about doing more with less, making your chatbot development smoother and faster. It introduces a declarative style…

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Lorentz Yeung

Data Analyst in Microsoft, Founder of El Arte Design and Marketing, Certified Digital Marketer, MSc in Digital Marketing, London based.