Stop building chat toys. Start architecting enterprise-grade retrieval systems. Learn architecture, security, and scale beyond the tutorials.
Uploading a PDF and calling an LLM is easy. But that approach breaks instantly when you have 1M+ documents, latency constraints, and security requirements.
Real production RAG is about architecture, data design, control, and evaluation. Most tutorials skip the hard engineering parts.
Two hours of pure engineering. No fluff.
How real-world RAG systems are structured end-to-end beyond just vector stores.
Document design, intelligent chunking, and handling messy enterprise data.
Query understanding, hybrid search, and re-ranking for higher accuracy.
Grounding responses, preventing hallucinations, and security layers.
Observability, continuous improvement, and measuring success.
How expectations and architectures are evolving for the future.
Data Sense is a platform dedicated to helping individuals grow in Data Analytics, Machine Learning, and AI. We focus on practical learning through real-world case studies, moving beyond theory to help you build systems that actually work.
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