LangGraph:18 Network or Collaborative Multi-Agent System Implementation #aiagents #ai #genai #agent
Welcome to an exciting deep dive into Multi-Agent Systems! In this video, we explore the implementation of Networked and Collaborative Multi-Agent Systems, showcasing how multiple intelligent agents work together to solve complex problems efficiently.
What You’ll Learn:
What is a Multi-Agent System (MAS)?
The difference between Networked and Collaborative Multi-Agent Systems
Real-world applications in AI, robotics, and distributed computing
Step-by-step implementation guide with code examples
Best practices for designing efficient and scalable MAS
Whether you are a developer, AI enthusiast, or researcher, this video will help you understand how to build intelligent agents that collaborate in a networked environment.
#langchain LangGraph #AIagents #StructuredOutput #GenerativeAI #LangChain #AIautomation #llm #embedding #ai #futureai #generativeai #genai #textgeneration #ragapp #langchain #programminglogic #python #chatbot #openai #gpt #langchainj #rag #crossencoder #transformers #multiretriever #ragfusion #advancerag #llamaindex #langchain #gemini #google #rag #LCEL #langgraph #aiagent #react #aiagents
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PDF: https://github.com/sunnysavita10/langgraph-end-to-end/tree/main/multiagent_system
End-to-End-Langgraph-Course: https://github.com/sunnysavita10/langgraph-end-to-end
Multimodel RAG Playlis: https://www.youtube.com/watch?v=7CXJWnHI05w&list=PLQxDHpeGU14D6dm0rmAXhdLeLYlX2zk7p&pp=gAQBiAQB
RAG detailed Playlist: https://www.youtube.com/watch?v=wTVTkOb3SZc&list=PLQxDHpeGU14Blorx3Ps1eZJ4XvKET1_vx&pp=gAQBiAQB
GenAI Foundation Playlist: https://www.youtube.com/watch?v=ajWheP8ZD70&list=PLQxDHpeGU14D7NiPgqxC9qhKkx4jMQcDk&pp=gAQBiAQB
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