Certificate of Completion

What You Learned

• Explain how RAG solves LLM limitations like hallucination and knowledge cutoffs
• Implement document processing pipelines with appropriate chunking and overlap strategies
• Compare embedding models and vector databases to select the right tools for each use case
• Design retrieval strategies using hybrid search, reranking, and query rewriting
• Build generation pipelines with grounding, citation, and faithfulness controls
• Evaluate RAG systems using RAGAS metrics: faithfulness, context relevance, and answer relevance