LangGraph Crash Course With Code Examples

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🌟 Welcome to the first episode of our exciting series on Agentic AI in LLM-based applications! Today, we're embarking on a journey to explore the fascinating world of LangGraph and LangChain. Get ready to dive into the basics and beyond! 🚀 #LangChain #LangSmith #LangGraph

👨‍💻 In this comprehensive tutorial, we start from scratch, setting the stage for project setup, introducing key terminologies in the realm of agentic AI, and guiding you through the process of building custom AI tools. Whether you're a beginner or a seasoned tech enthusiast, this video is your gateway to understanding and leveraging the power of large language models (LLMs) like GPT-4. 🧠 #LLM #GPT4 #LargeLanguageModels

🔧 We'll walk you through the nuances of LangGraph - a groundbreaking tool for constructing graphs of AI agents. You'll learn how to visualize and manage the interactions between various AI components, creating an efficient multi-agent system. #MultiAgent #Nodes #LangGraph

🤖 Our focus then shifts to LangChain, where you'll witness the creation of sophisticated AI agents. We'll demonstrate how to use these agents for a variety of purposes, including chatbots and advanced search systems. Expect to see practical examples and step-by-step instructions to build your very own AI-driven tools. #LangChainV01 #AIAgents #Chatbots #SearchSystem

💻 Delve into the world of coding and machine learning as we cover essential tools and libraries in Python. We'll touch upon the integration of LangChain with popular technologies like Gemini, Google, and Meta AI. This hands-on approach ensures you gain practical skills alongside theoretical knowledge. #Python #Coding #MachineLearning #ML #NLP #MetaAI

🔍 Discover the capabilities of LangGraph in managing the complexity of AI agents. We'll explore its interface, functionalities, and how it compares to other vector databases and search applications. #VectorDatabase #SearchApp #RAGSearch

🌐 Stay tuned as we unravel the mysteries of the Llama Index, perplexity metrics, and how they play a crucial role in the efficiency of AI systems like LangGraph and LangChain. #LlamaIndex #PerplexityVsGoogle

🔥 Don't miss out on the latest updates and versions of LangChain. We'll provide you with insider information on the newest features and how they enhance the capabilities of these platforms. #LangChainUpdates #LangChainNewVersion #DAG

👍 If you're intrigued by the possibilities of Generative AI and its applications in tech, this series is a must-watch! Subscribe now for more insightful content, and hit the like button to support our channel. Your engagement is crucial in helping others discover this groundbreaking content! 🌟 #GenerativeAI #GenAI #Tech #ChatGPT #OpenAI

📌 Tags: #LangChain #LangSmith #LangGraph #MultiAgent #OpenAI #Nodes #LLM #LargeLanguageModels #Tavily #GenerativeAI #GenAI #RAG #AIChatbot #Chatbots #Python #OpenAI #Tech #Coding #MachineLearning #ML #NLP #ChatGPT #Gemini #Google #MetaAI #LlamaIndex #VectorDatabase #LangGraph #LangChainV01 #GPT4V #GPT4 #GPT4 #Tavily #SearchChatbot #SearchSystem #SearchApp #RAGSearch #PerplexityVsGoogle #LangChainUpdates #LangChainNewVersion #DAG

🔔 Remember, your engagement helps us create more valuable AI-related content. Let's revolutionize the way we interact with AI together! 🚀🌐👨‍💻🔍🤖💻🔥👍📌🔔

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Thank you for watching and see you in the next video!!
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Heyo! Thanks for this video! I'm currently learning LangGraph and it was super helpful!
However, I notice you didn't post the Github repo, but mentioned you were going to. Just a heads up!
Thanks again

joshuashepherd
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thank you for the very usefull video!
is there any way to control the length. if i use gpt-3 i get error of ma token exided . can we somehow put a token limit ?

kordou
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Thanks for the very informative video! Could you please explain the difference between streaming and no streaming?

pup_lover