RAG | САМОЕ ПОНЯТНОЕ ОБЪЯСНЕНИЕ!
THE CLEAREST EXPLANATION OF RAG SYSTEMS! Join RANEZ UNIVERSITY! MORE RAG REFERENCES! TG: https://t.me/tribute/app?startapp=sAHG WEB: https://web.tribute.tg/s/AHG Join our AI RANEZ community on Telegram - https://t.me/+ExiaDZ5sN1k0NWEy In this detailed video guide, I cover everything you need to know about RAG (RetrievalAugmentedGeneration)—a cutting-edge approach that takes large language models (LLM, GPT-4, ChatGPT, etc.) to the next level by augmenting their generative capabilities with a living, up-to-date knowledge base. You'll see how to practically connect embeddings, vector storage, retriever, and generator to literally "feed" the model with fresh content and get precise, well-reasoned answers without "hallucinations." I'll demonstrate the architecture step-by-step, explain key nuances (latency, cost, data updates), visually sketch the process, and explore real-world use cases: a support chatbot, intelligent search through corporate documents, a personalized assistant, and much more. Along the way, I'll share life hacks for where RAG brings maximum benefit and where it's best to abandon it in favor of more traditional solutions. After watching, you'll have a clear roadmap: how to design, build, and optimize your own RAG system for your use case. I'd love to hear your feedback: let me know how convenient the live sketch format is and what I could improve in future episodes—I'm already preparing a video where we'll build a working prototype step-by-step together. Like, subscribe, and share ideas for topics you'd like to see on the channel. RAG, Retrieval Augmented Generation, RAG tutorial, RAG system, LLM, large language models, vector database, embeddings, LangChain, LlamaIndex, GPT-4, ChatGPT, AI development, generative AI, document search, knowledge base bot, machine learning, NLP, vector database, artificial intelligence, AI training, generative AI tutorial, build RAG system, AI use cases, corporate AI, AI for business #RAG #RetrievalAugmentedGeneration #AI #and #ai #LLM #GenerativeAI #LangChain #VectorDatabase
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