IVQ 1-50

Core Concepts

1. What is LangGraph and how does it differ from traditional workflow engines?

2. What is a StateGraph in LangGraph?

3. What is a Node in LangGraph and how is it defined?

4. What are edges in LangGraph and how do they define flow?

5. What is the difference between StateGraph and SingleNode?

6. What is a workflow in LangGraph?

7. What role does State play in LangGraph?

8. How does LangGraph enforce type-safety for state transitions?

9. What are the key components of a LangGraph-based application?

10. What is the difference between static and dynamic execution in LangGraph?

Methods & APIs

1. How does add_node work in LangGraph?

2. How does add_edge function in LangGraph?

3. How does add_conditional_edges work and when should you use it?

4. What does the compile() method do in LangGraph?

5. How do you use builder.build() in LangGraph?

6. What is the purpose of add_start in LangGraph?

7. How do you define a function_node in LangGraph?

8. How do you integrate LangChain tools as nodes in LangGraph?

9. Can you dynamically add nodes or edges at runtime in LangGraph?

10. How can you inspect or visualize a compiled LangGraph?

Execution & Logic

1. How do conditional branches work in LangGraph?

2. What is a CallableNode and how is it used?

3. How do you implement loops or retries in LangGraph?

4. Can LangGraph handle parallel nodes or concurrent execution paths?

5. What is the role of EndNode in LangGraph?

6. How do you terminate or exit a workflow early in LangGraph?

7. What are best practices for designing reusable nodes in LangGraph?

8. How do you pass memory or context between nodes in LangGraph?

9. How do you log or debug state transitions in LangGraph?

10. How does LangGraph handle state mutation during workflow execution?

Integrations & Use Cases

1. How do you integrate LangGraph with OpenAI function calling?

2. How do you integrate LangGraph with LangChain tools like agents and retrievers?

3. Can LangGraph be used with FastAPI for interactive workflows?

4. How do you implement an LLM-powered agent loop using LangGraph?

5. Can LangGraph be used for RAG (Retrieval-Augmented Generation) pipelines?

6. How do you build multi-step chatbots using LangGraph?

7. What are typical use cases for LangGraph in enterprise applications?

8. How do you handle vector DB operations within LangGraph nodes?

9. Can LangGraph interact with external APIs in a node?

10. How can LangGraph help implement human-in-the-loop workflows?

Advanced Topics

1. How can you serialize or export a LangGraph workflow?

2. What are the limitations of LangGraph's current execution model?

3. How can you simulate or test a LangGraph without real LLMs?

4. What are some common anti-patterns when using LangGraph?

5. How do you benchmark or optimize a LangGraph pipeline?

6. Can LangGraph be used for decision trees or scoring models?

7. How does LangGraph differ from Airflow or Prefect?

8. How can you ensure fault-tolerance or error recovery in LangGraph?

9. How do you control LLM token usage and cost in LangGraph?

10. What is the roadmap or future direction for LangGraph?