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Build RAG Pipeline with LlamaIndex

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Linked challenge: Intuit's Fin-Analyst: OpenAI o3 with DSPy & Model Context Protocol for Advanced Financial Insights

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Linked challenge
Intuit's Fin-Analyst: OpenAI o3 with DSPy & Model Context Protocol for Advanced Financial Insights

Prompt source

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Create a RAG pipeline using LlamaIndex to index a corpus of simulated financial regulations, IRS publications, and Intuit help articles. Integrate this RAG system into your DSPy Modules, allowing OpenAI o3 to retrieve and cite relevant documents when performing tax calculations or explaining financial concepts. Emphasize how the agent will decide when to use RAG versus direct model reasoning.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.