ANLP 106 – Retrieval-Augmented Generation (RAG) & Vector Databases

(Weeks 11–12 | Lec 6 Hrs / Lab 12 Hrs / Ext 0 Hrs | 18 Total Hrs | 0.8 Credit Hours)
Students will:

• Design Retrieval-Augmented Generation (RAG) pipelines.
• Implement vector databases (FAISS, Pinecone) for retrieval.
• Integrate search and generation workflows.
  Prerequisite: ANLP 105 – Prompt Engineering & LLMOps
  Tools: FAISS, Chroma, Pinecone