Generative AI from Basic to Advance - LangChain v/s Llama-Index | Detailed Differences | Which one you should use?

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

Summary

Keywords

langchain llamaindex vectordatabase embeddings searching llms gemini gpt4 chatgpt google gemini sunny savita sunny savita ineuron

Full Transcript

This video explains LlamaIndex and LangChain, two tools for creating production-ready LLM-based applications. Purpose: What are LlamaIndex and LangChain? What are their core functionalities? What types of projects or applications are best suited for each tool? (e.g., information retrieval, chatbot development) Target Users: Who might benefit from using each tool? (e.g., developers, researchers, businesses) Downlaod the Notes From Here: Click to subscribe & join the AI adventure! Material Link: https://github.com/sunnysavita10/Generative-AI-Indepth-Basic-to-Advance #GoogleGemini #TexttoText #ImagetoText #Python #AI #MachineLearning #textgeneration #embedding #gemini #langchain #llamaindex Google Form : https://forms.gle/1Ut21yM2ednvpbS66 Connect with me on Social Media- LinkedIn : https://www.linkedin.com/in/sunny-savita/ GitHub : https://github.com/sunnysavita10 Telegram : https://t.me/aimldlds