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Discover how to leverage LangChain through our LangChain course for the development of LLM-powered applications. Learn about prompt templates, chains, memory types, and tools to build AI applications.

LangChain.tar.gz

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LangChainRun

Simple Run

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Unlock the potential of large language models (LLMs) with our beginner-friendly LangChain course for developers. 

Founded in 2022 by Harrison Chase, LangChain has revolutionized GenAI app development. This interactive LangChain course integrates LLMs into AI applications, enabling developers to create smart AI solutions. Enhance your expertise in LLM application development and LangChain development. 

Explore LangChain’s core components, including prompt templates, chains, and memory types, essential for automating workflows and managing conversational contexts. 

Learn how to connect language models with tools and data via APIs, utilizing agents to expand your applications. You’ll also try out RAG and see how it helps answer questions. Additionally, the course covers LangGraph basics, a framework for building dynamic multi-agent systems. 

Understand LangGraph’s components and how to create robust routing systems.

Unleash the Power of Large Language Models Using LangChain

Review what you have learned in this course. 

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Conclusion

خاتمة

Review what you have learned in this course.

Introduction to LangChain

Exploring LangChain

LangGraph Basics

Wrapping Up

Query CSV Files with Natural Language Using LangChain and Panel

Conclusion