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Designing the RAG Application

From Components to an Application Pipeline

Choosing Frameworks and Model Services

Knowledge Check: RAG Architecture

Implementing the Query and Generation Flow

A Minimal Python RAG Pattern

Prompt Design and Context Assembly

Knowledge Check: Prompt Grounding

Practical Application and Testing

Build a Small Knowledge Assistant

Debugging and Common Implementation Failures

Knowledge Check: Debugging

Follow the end-to-end application workflow: connect a document pipeline, retriever and language model; design grounded prompts; and implement and test a practical RAG assistant.

Building RAG Applications with Python and Frameworks

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