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Section outline

    • Session 3: Using LangChain (4 Hours)
      • AI app workflows and LangChain basics.
      • Memory types and implementation.
      • Lab: Create and use chains with LangChain.
    • Session 4: Embeddings, Vector Stores, and RAG (4 Hours)
      • Embedding flow and vector stores (ChromaDB and Pinecone).
      • Lab: Build a retriever chain with RAG.