Beyond Traditional RAG
What you'll learn
The CBX experience delivers outcomes that matter at scale.
Foundations of Retrieval-Augmented Generation
Problems in Traditional RAG Systems
Retrieval Failures in Production AI
Hallucinations and Incorrect Responses
Incomplete Context and Weak Reasoning
Smart Decision-Making in AI Pipelines
Hybrid Corrective RAG Architecture
Incomplete Context and Weak Reasoning Smart Decision-Making in AI Pipelines Hybrid Corrective RAG Architecture Self-RAG and Reflection-Based Retrieval
Skills you'll gain
Packed with useful features
The CBX experience delivers outcomes that matter at scale.
Foundations of Traditional RAG Systems
Understand how Retrieval-Augmented Generation works and why it became one of the most widely adopted architectures in modern AI applications. Learn how retrieval pipelines interact with large language models to improve knowledge access and response generation.
Problems in Traditional RAG Architectures
Learn why traditional RAG systems often struggle in real-world production environments. Understand common limitations like poor retrieval quality, irrelevant context injection, retrieval dependency, and weak reasoning capabilities.
Retrieval Failures and Incomplete Responses
Explore how AI systems fail when retrieval pipelines cannot fetch accurate or sufficient information. Learn why incomplete retrieval often leads to misleading, low-confidence, or partially correct AI responses.
Hallucinations in Modern AI Systems
Understand how hallucinations occur even in retrieval-based AI architectures. Learn the difference between retrieval failure, reasoning failure, and generation failure, along with their impact on reliability and trust.
Smart Decision-Making in AI Pipelines
Discover how modern AI systems evaluate retrieved information before generating responses. Learn how adaptive reasoning and intelligent retrieval strategies improve factual consistency and response quality.
Hybrid Corrective RAG Explained
Explore how Hybrid Corrective RAG combines retrieval, validation, correction, and refinement workflows to improve reliability. Understand how corrective pipelines help reduce hallucinations and strengthen factual grounding.
# Endless features
Meet your Mentors
Aditya Chhabra
Aditya brings 8+ years of AI engineering experience from Microsoft and leading startups, specializing in ChatGPT, generative AI, and LLM deployment. He transforms complex concepts into practical skills, mentoring hundreds of Delhi NCR engineers to master production-ready AI systems. As lead instructor at CBX, Aditya focuses on hands-on projects and real-world expertise that accelerates career growth.
Earn a Verified Certificate of Completion
The CBX experience delivers outcomes that matter at scale.