Agentic RAG in 2026: The Complete Architecture (From Zero to Deployment) скачать в хорошем качестве

Agentic RAG in 2026: The Complete Architecture (From Zero to Deployment)

Stop building "forgetful" AI. In today's landscape, if your agent doesn't have a robust, real-time connection to external data, it's already obsolete. In this comprehensive lecture, we break down the entire RAG pipeline from the ground up. Whether you’re building autonomous researchers or enterprise-grade support agents, this is the blueprint for giving your AI a "long-term memory" that actually works. 🚀 Connect & Follow My Work GitHub: github.com/danishmustafa86 (Source code & Agentic Frameworks) LinkedIn: linkedin.com/in/danishmustafa86 (Industry insights & AI updates) Portfolio: danishmustafa86.vercel.app (Latest projects & deployments) 🧠 What we cover in this session: The "Why" in 2026: Why context windows haven't killed RAG (and why they never will). Internal Mechanics: A deep dive into semantic chunking, multi-stage retrieval, and the "Agentic Loop." Architecture: How agents decide when and what to retrieve. Implementation: Real-world use cases across healthcare, finance, and automated engineering. The Future: Where RAG is headed as we move toward AGI-lite systems. #AgenticAI #RAG2026 #DanishMustafa #AIAgents #VectorDatabase #MachineLearning #GenerativeAI #AIArchitecture