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The LangChain Team Answers the Most Searched Questions About Agents

2026-07-14 Science & Technology
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Description

Amy and Sean from LangChain sit down to answer the most commonly searched questions about AI agents, from the basics (what is an agent, what is RAG, what is MCP) to the harder stuff (why agents hallucinate, how to evaluate them, and what LangChain actually does). The LangChain Team Answers the Most Searched Questions About Agents 0:00 Meet your hosts 0:18 What is an agent? 0:59 What is RAG? 1:24 What is MCP? 1:52 Why do agents hallucinate? 2:31 What is the agent development lifecycle? 3:00 What is memory? 3:36 What does human in the loop really mean? 4:29 How do you evaluate an agent? 5:52 What is LangChain, really? 7:23 How do I start building agents? 7:39 Deep Agents vs Fleet, which one to pick 8:59 Where to learn more Extra resources: - LangChain: https://www.langchain.com/ - LangSmith: https://www.langchain.com/langsmith-platform - LangSmith Fleet: https://www.langchain.com/langsmith/fleet - Deep Agents: https://www.langchain.com/deep-agents - LangChain Academy: https://academy.langchain.com/

Top Comments (6)

@LangChain 2026-07-14

What else do you want to see our team cover? Let us know in the comments!

0 1 replies
@singhvishal1170 2026-07-15

Woah! You guys look cute together! ❤🫰🔗

0
@brahamaggarwal1800 2026-07-14

can I get an interview at langchain please, I'm extremely passionate about your technology and have been following you for a while now, I've made some good projects as well.

1
@akshayneema8608 2026-07-15

8

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@PinkHamJesse 2026-07-19

The hallucination framing remains off. These models are predictive, not truth-seeking. Until we build agent architectures that explicitly represent uncertainty and defer to external knowledge sources, this stays inherent.

0
@manasseh152 2026-07-15

https://youtu.be/Gw_hnD7m00M 🎉

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