Build Your Own AI Assistant | Complete RAG Architecture Explained

Build Your Own AI Assistant | Complete RAG Architecture Explained In this video, you’ll learn the complete architecture behind modern AI assistants and RAG (Retrieval-Augmented Generation) systems. We’ll break down the entire pipeline step-by-step, from data collection and chunking to embeddings, vector databases, similarity search, LLM processing, and response generation. By the end of this course, you’ll understand how systems like ChatGPT, custom knowledge-base assistants, company chatbots, and modern AI search applications actually work under the hood. Whether you’re an aspiring AI Engineer, Software Developer, Data Engineer, or simply curious about modern AI systems, this video will give you a strong foundation in one of the most important concepts in AI engineering. ⸻ Video Chapters 00:00 Introduction 00:22 The 8-Step RAG Pipeline 01:53 Data Collection 03:41 Chunking 08:06 Embeddings 10:52 Vector Databases 13:57 Query Embedding 16:08 Similarity Search 19:24 LLM Processing 22:30 Response Generation 25:17 Putting It All Together 28:22 Final Thoughts & Next Steps ⸻ What You’ll Learn ✅ The complete architecture behind modern AI assistants ✅ How RAG (Retrieval-Augmented Generation) works ✅ Data ingestion and preprocessing ✅ Chunking strategies and overlap ✅ Embeddings and vector representations ✅ Vector databases and metadata ✅ Query embeddings ✅ Similarity search and retrieval ✅ Context injection ✅ Prompt engineering fundamentals ✅ LLM processing pipelines ✅ Response generation and post-processing ✅ How production AI systems are built ⸻ Connect With Me 📺 YouTube:    / @techtipsbymoh-en   🌐 Website: https://tipsbymoh.tech 💼 LinkedIn:   / mmmohajer   💻 GitHub: https://github.com/mmmohajer 📸 Instagram:   / techtipsbymoh   🎵 TikTok:   / techtipsbymoh   📢 Telegram: https://t.me/techtipsbymoh ⸻ What’s Next? What would you like me to cover next? • RAG Deep Dive • Memory Systems • AI Agents • Prompt Engineering • Production AI Applications Leave a comment below and let me know. Your feedback helps shape future content on this channel. If you found this video helpful, please like, subscribe, and share it with someone learning AI Engineering. Thanks for watching, and I’ll see you in the next video. 🚀 #AIEngineering #RAG #LLM #ArtificialIntelligence #TechTipsByMoh