Uploaded February 2026 | Updated September 2026, 2 weeks ago
π The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
πΊ Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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One of the most common and confusing interview questions in GenAI development is knowing when to use LangChain and when to use LangGraph. Many candidates either mix them up or assume one replaces the other. In this video, we break down the exact difference in a structured interview Q&A format so you can answer this confidently in your next AI Engineer or LLM Engineer interview.
We cover the core architectural difference between sequential chains and conditional graphs, real-world use cases for both frameworks, the key decision factors around state management and workflow complexity, and a simple three-question decision framework you can use in any interview or system design discussion. We also include a senior-level insight that demonstrates architectural maturity to interviewers.
If you are preparing for GenAI, LLM Engineer, or AI Architect roles β or actively building production agent systems with LangChain or LangGraph β this lecture gives you the structured thinking and vocabulary to stand out.
π Learn More with My Udemy Courses
π§ Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
π₯ MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
π Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
π§ LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
β‘ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
π§ Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
π NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
π Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
π Support the Channel
π Like the video if it helps you
π¬ Comment your doubts & feedback
π Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
π The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
πΊ Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
One of the most common and confusing interview questions in GenAI development is knowing when to use LangChain and when to use LangGraph. Many candidates either mix them up or assume one replaces the other. In this video, we break down the exact difference in a structured interview Q&A format so you can answer this confidently in your next AI Engineer or LLM Engineer interview.
We cover the core architectural difference between sequential chains and conditional graphs, real-world use cases for both frameworks, the key decision factors around state management and workflow complexity, and a simple three-question decision framework you can use in any interview or system design discussion. We also include a senior-level insight that demonstrates architectural maturity to interviewers.
If you are preparing for GenAI, LLM Engineer, or AI Architect roles β or actively building production agent systems with LangChain or LangGraph β this lecture gives you the structured thinking and vocabulary to stand out.
π Learn More with My Udemy Courses
π§ Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
π₯ MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
π Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
π§ LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
β‘ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
π§ Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
π NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
π Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
π Support the Channel
π Like the video if it helps you
π¬ Comment your doubts & feedback
π Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
