Conclusion

LangChain is an open-source framework for building AI applications. It has many other tools such as LangGraph, Agents and LangSmith in addition to the core LangChain tools.

Context engineering seeks to solve issues with advanced AI applications such as AI agents by optimizing all the components involved in each stage of the agent workflow. It’s both an art and science, requiring careful planning, as well as extensive testing and tweaking to get right.

As LLMs evolve, agents will get better, and many of the current issues will fade away. But given that running AI applications is expensive and can be inefficient, context engineering is key to making the most of applied AI.

In this lesson, you learned:

  • AI with LangChain
  • LangGraph
  • Components of Context Engineering

In the next lesson, you’ll learn more about other ways of building AI apps.
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