Generative AI from Basic to Advance - Realtime Multimodal RAG Usecase Part 3 | MultiVectorRetriever with Langchain | RAG Application #rag

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

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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

multimodal rag rag app rag application rag tutorial rag system multimodal ai gpt4-v llm lancedb vectordatabase video processing python programming

Full Transcript

Learn how pull out images, tables, and text from documents in this easy tutorial. Learn how to create a summary of the extracted data. Learn how to create a multimodalvector retriver on top of it. Great for beginners interested in AI and document processing. Watch demonstrations and get practical tips to streamline your work. Don’t forget to like and subscribe for more tutorials! #multimodalai #multimodalrag #llm #embedding #ai #rag #futureai #generativeai #genai #textgeneration #multivectorretrival Don't miss out; learn with me! P.S. Don't forget to like and subscribe for more AI content! Material Link: https://github.com/sunnysavita10/Generative-AI-Indepth-Basic-to-Advance Google Form For Suggestion and Feedback : 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