Memory & Structured Output Parser in LangChain | JSON, Pydantic, Memory Types Explained | Gen AI

Code Link : https://github.com/Kabir2099/GEN_AI/blob/main/day_4.ipynb

🚀 Ace The Code brings you a complete breakdown of one of the most important Gen AI concepts — Structured Output Parsing using LangChain.

In this video, you’ll learn how to generate and validate structured responses like JSON and Pydantic objects directly from an LLM. We’ll also cover all major memory types used in Gen AI pipelines.

🔍 What You’ll Learn:
✅ What is a Structured Output Parser?

✅ How to get clean JSON output from LLMs

✅ Using Pydantic for schema validation

✅ Memory in LangChain:
🎯 Ideal For:

Gen AI Developers

LangChain Beginners

Anyone building structured RAG pipelines

Developers using tools like OpenAI, Gemini, Claude, or local LLMs

📌 Don’t forget to Like, Comment, and Subscribe to Ace The Code for:

Gen AI Tutorials

LangChain Deep Dives

Python + LLM Projects

Interview & Placement Prep

#GenAI #LangChain #StructuredOutputParser #JSON #Pydantic #LLM #LangChainMemory #PromptEngineering #AceTheCode #AIProjects #PythonAI #LLMTutorial

Видео Memory & Structured Output Parser in LangChain | JSON, Pydantic, Memory Types Explained | Gen AI канала Ace The Code