The Need for Retrieval Augmented Generation
Learn why traditional LLMs often struggle with factual accuracy and how RAG addresses these challenges by incorporating external knowledge.
The LLM Challenge
LLMs are incredible at writing, answering, and coding — but they carry real limitations that make them unreliable for certain tasks. Let us look at why.
Hallucinations Explained
The first problem is hallucination: an LLM confidently presents false info as fact. It is not lying — it is guessing from patterns, and the made-up answers sound convincing.
All lessons in this course
- What are Large Language Models?
- The Need for Retrieval Augmented Generation
- Core Components of a RAG System
- Embeddings and Vector Databases