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LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent
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Generative AI from Basic to Advance - LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent

Master Generative AI: From Basics to Breakthroughs in AI Models and RAG Systems

5.0 (2)
26 learners

What you'll learn

Understand the evolution of generative AI from classical to modern techniques
Apply RAG and LangChain for building scalable AI applications
Implement end-to-end pipelines using LlamaIndex and LLM fine-tuning methods
Deploy AI models with CI/CD pipelines and container orchestration tools

This course includes

  • 124.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Generative AI from Basic to Advance LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent

LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent Transcript and Lesson Notes

Discover how Collaborative Multi-Agent Systems revolutionize research and analysis by enabling intelligent agents to work together efficiently. In this video, we explore their applications, benefits, and real-world use c

Quick Summary

Discover how Collaborative Multi-Agent Systems revolutionize research and analysis by enabling intelligent agents to work together efficiently. In this video, we explore their applications, benefits, and real-world use c

Key Takeaways

  • Review the core idea: Discover how Collaborative Multi-Agent Systems revolutionize research and analysis by enabling intelligent agents to work together efficiently. In this video, we explore their applications, benefits, and real-world use c
  • Understand how rag app fits into LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent.
  • Understand how rag application fits into LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent.
  • Understand how rag tutorial fits into LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent.
  • Understand how rag system fits into LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent.

Key Concepts

Full Transcript

Discover how Collaborative Multi-Agent Systems revolutionize research and analysis by enabling intelligent agents to work together efficiently. In this video, we explore their applications, benefits, and real-world use cases in AI, automation, and decision-making. Learn how multi-agent collaboration enhances problem-solving, data processing, and complex system analysis. #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 Don't miss out; learn with me! P.S. Don't forget to like and subscribe for more AI content! 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 Connect with me on Social Media- LinkedIn : https://www.linkedin.com/in/sunny-savita/ One to One Call: https://topmate.io/sunny_savita10 GitHub : https://github.com/sunnysavita10 Telegram : https://t.me/aimldlds

Lesson FAQs

What is LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent about?

Discover how Collaborative Multi-Agent Systems revolutionize research and analysis by enabling intelligent agents to work together efficiently. In this video, we explore their applications, benefits, and real-world use c

What key concepts are covered in this lesson?

The lesson covers rag app, rag application, rag tutorial, rag system, multimodal ai.

What should I learn before LangGraph:19 Research and Analysis with Collaborative Multi-Agent System #aiagents #ai #genai #agent?

Review the previous lessons in Generative AI from Basic to Advance, then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: rag app, rag application, rag tutorial, rag system.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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