LangChain Reusability: Saving and Loading PromptTemplates with JSON | Video #10

Описание: Efficiency is key in AI development! 🚀 In Video #10 of our LangChain Full Course, we take our prompt engineering to a professional level by focusing on Reusability.

I will show you how to move beyond static prompts and master the PromptTemplate class from langchain_core. You'll learn how to create dynamic templates with runtime variables and, most importantly, how to save your hard-earned prompts as JSON files. This allows you to store your prompt logic externally, version control it, and load it into any part of your application without rewriting a single line of code.

✅ In this tutorial, we cover:

Dynamic Prompting: Using placeholders like {n} and {location_name} to inject data at runtime.

The JSON Advantage: Why saving templates to .json files is a best practice for production apps.

Code Walkthrough: Step-by-step guide to using template.save() and load_prompt().

The Streamlit Vision: How dynamic, reusable prompts pave the way for professional Front-End AI applications.

Practical Demo: Managing a "Top Tourist Places" prompt across different locations dynamically.

🚀 Follow the Full Course Playlist here:    • LangChain Full Course: Step-by-Step Tutori...  

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