ReAct Agentic Workflow + LangGraph

📹 VIDEO TITLE 📹
ReAct Agentic Workflow + LangGraph

✍️VIDEO DESCRIPTION ✍️
In this video, we explore how to build a “ReAct (Reasoning + Acting) Agentic Workflow” using “LangGraph”, a powerful framework for designing structured AI workflows with cyclic reasoning capabilities. The workflow we implement features an “Agent” that intelligently interacts with a “Tool”, which fetches real-time marine conditions from the “National Weather Service Buoy API”. We begin by breaking down the “system architecture”, explaining how LangGraph facilitates structured decision-making by enabling the agent to reason about queries before taking action.

Next, we dive into the “Python code”, walking through each component of the implementation. We start by defining the agent's reasoning process, followed by integrating the “Tool” that retrieves live buoy data, allowing the system to fetch and process real-world marine conditions off the U.S. coast. You'll see how “LangGraph handles state management”, how the agent determines when to invoke the external API, and how it refines its responses dynamically based on the retrieved data.

By the end of the video, you'll have a clear understanding of how to design and implement “Agentic Workflows using LangGraph”. Whether you're new to “ReAct-based agents” or looking to enhance your knowledge of “multi-step AI reasoning”, this tutorial provides a practical, hands-on example. Don't forget to like, subscribe, and leave a comment if you want to see more “LangGraph” integrations with real-world APIs!


🧑‍💻GITHUB URL 🧑‍💻
https://github.com/NewMachinaLLM/vide...

📽OTHER NEW MACHINA VIDEOS REFERENCED IN THIS VIDEO 📽
Build an MP Neuron with PyTorch -    • Build an MP Neuron with PyTorch  
LangChain versus LangGraph -    • LangChain versus LangGraph  
Chroma versus Pinecone Vector Database -    • Chroma versus Pinecone Vector Database  
What is the Chroma Vector Database ? -    • What is the Chroma Vector Database ?  
RAG with OpenAI & Pinecone Vector Database ? -    • RAG with OpenAI & Pinecone Vector Database ?  
What are LLM Function Calls ? -    • What are LLM Function Calls ?  
Embeddings with Open AI & Pinecone Vector Database -    • Embeddings with Open AI & Pinecone Vector ...  
What is Hugging Face? -    • What is Hugging Face ?  
RAG vs Fine-Tuning -    • RAG versus LLM Fine-Tuning  
What is RAG ? -    • What is RAG ?  
What is the Perceptron? -    • What is the Perceptron ?  
What is the MP Neuron? -    • What is the MP Neuron ?  
What is Physical AI ? -    • What is Physical AI ?  
What is the Turing Test ? -    • What is the Turing Test?  
What is LLM Alignment ? -    • What is LLM Alignment ?  
What are Agentic Workflows? -    • What are Agentic Workflows ?  
Why is AI going Nuclear? -    • Why is AI going Nuclear?  
What is Synthetic Data? -    • What is Synthetic Data?  
What is NLP? -    • What is NLP ?  
What is Open Router? -    • What is Open Router ?  
What is Sentiment Analysis? -    • What is Sentiment Analysis ?  

SDK(s) in Pinecone Vector DB -    • SDK(s) in Pinecone Vector DB  
Pinecone Vector DB POD(s) vs Serverless -    • Pinecone Vector Database PODS vs Serverless  
Meta Data Filters in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
Namespaces in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
Fetches & Queries in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
Upserts & Deletes in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
What is a Pineconde Index -    • What is a Pinecone Index ?  
What is the Pinecone Vector DB -    • What is a Pinecone Index ?  
What is LLM LangGraph ? -    • What is LLM LangGraph?  
What is Llama Index ? -    • What is LLM Llama Index ?  

LangChain HelloWorld with Open GPT 3.5 -    • LangChain HelloWorld with Open GPT 3.5  
What are LLM Presence and Frequency Penalties? -    • What are LLM Presence and Frequency Penalt...  
What are LLM Hallucinations ? -    • What are LLM Hallucinations ?  
Can LLMs Reason over Large Inputs ? -    • Can LLMs Effectively Reason over Large Inp...  
What is the LLM’s Context Window? -    • What is the LLM's Context Window ?  
What is LLM Chain of Thought Prompting? -    • What is LLM Chain of Thought Prompting?  
Algorithms for Search Similarity -    • Algorithms for Search Similarity  
How LLMs use Vector Databases -    • How LLMs use Vector Databases  
What are LLM Embeddings ? -    • What are LLM Embeddings ?  
How LLM’s are Driven by Vectors -    • How LLM’s are Driven by Vectors  
What is 0, 1, and Few Shot LLM Prompting ? -    • What is 0, 1, and Few Shot LLM Prompting ?  
What are the LLM’s Top-P and TopK ? -    • What are the LLM’s Top-P + Top-K ?  
What is the LLM’s Temperature ? -    • What is the LLM’s Temperature ?  
What is LLM Prompt Engineering ? -    • What is LLM Prompt Engineering ?  
What is LLM Tokenization? -    • What is LLM Tokenization ?  
What is the LangChain Framework? -    • What is the LangChain Framework?  

🔠KEYWORDS 🔠
#LangGraph
#ReActAgent
#AgenticWorkflow
#AIWorkflow
#ReActPattern
#LLMAgents
#MarineData
#WeatherAPI
#NationalWeatherService
#BuoyData
#PythonAI
#LangChain
#AIwithPython
#APIAutomation
#GraphBasedAI
#AIReasoning
#AIApplications
#AIEngineering
#AIDevelopment
#AIProgramming
#MarineWeather
#BuoyAPI