GenAI - Custom IVQ

GenAI Custom Interview Questions

1. What is Context caching in Deepseek?

2. Explain Context Manager and Decorators. I need to integrate Decorators and Context Managers

3. How to use field validator in pydantic and fastapi?

4. How to verify the model response time with langsmith

5. What is BPE (Byte Per Encoding)?

6. How do you calculate tokens for Open AI or DeepSeek?

7. What is point in Qdrant?

8. What is Collection, Point, Payload, Group_id?

9. When multiple collections are not recommended in Qdrant, how do they achieve performance while indexing?

10. What's the engineering behind the embedding in GenAI?

11. What is Context Window and why is it important in LLM?

12. Why text embedding and chat embedding are different?

13. Why can't I use the same embedding in storing and chatting?

14. What is Query-invoked autoflush deadlocks?

15. What is StateGraph in LangGraph?

16. Explain add_node in LangGraph?

17. What is workflow in LangGraph?

18. Explain add_conditional_edges in LangGraph?

19. Explain add_edge in LangGraph

20. Explain compile in LangGraph