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MCP-Enabled RAG Pipeline Construction

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Linked challenge: Agent for Real Time Public Policy Analysis

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Linked challenge
Agent for Real Time Public Policy Analysis

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Outline the steps to build your MCP-enabled RAG pipeline. Describe how you will ingest the `prior_regulations` into a vector database, and how your DSPy agent will use a custom 'Retrieve' module to query this database. Explain how you'll simulate MCP tool integration to access a broader legal knowledge base if needed.

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.