LangChain Interview Questions for Beginners

Getting ready for an AI or LangChain interview? Here are 10 common questions that interviewers love to ask beginners. Watch the video above for detailed answers and explanations.

Q1. What is LangChain, and why use it instead of calling the OpenAI API directly?

Q2. What is an Output Parser in LangChain, and why is it useful?

Q3. Why should you use Prompt Templates instead of plain Python string formatting?

Q4. What is the difference between OpenAI and ChatOpenAI in LangChain?

Q5. Why do LLMs need Memory in LangChain?

Q6. When would you choose ConversationSummaryMemory over ConversationBufferMemory?

Q7. What is LCEL (LangChain Expression Language)?

Q8. What is the difference between a Chain and an Agent in LangChain?

Q9. What are Text Splitters, and why are they needed?

Q10. What is a Vector Store, and how is it different from a normal database?

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