PromptEng 104 – Retrieval-Augmented Generation (RAG) & LLMOps

(Weeks 7–8 | Lec 4 Hrs / Lab 12 Hrs / OJT 0 Hrs | 16 Total Hrs | 0.6 Credit Hrs)
Students will:

• Design and deploy RAG systems combining vector search and LLMs
• Configure embedding models and vector databases (FAISS, Pinecone)
• Monitor and evaluate production LLM systems
• Understand LLMOps lifecycle and challenges
  Tools: Pinecone, FAISS, LangChain RAG Templates
  Prerequisite: PromptEng 103 – Integration with Applications