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Section outline

    • Embeddings, Vector Stores, and RAG
      • Embedding flows and visualizations.
      • Use ChromaDB and Pinecone for vector storage.
      • Lab: Create a retriever chain and implement RAG in an application.
    • Tools and Agents
      • Tool configuration for databases and web searches.
      • Agent execution and handling errors.
      • Lab: Build an app with tools and agents integration.