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Implementing RAG with LlamaIndex

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Linked challenge: MCP-Enabled Federal Data Agent

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Linked challenge
MCP-Enabled Federal Data Agent

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Implement the 'Data Access Agent' using LlamaIndex for RAG over a simulated federal scientific report dataset. Focus on setting up effective indexing strategies (e.g., sentence window retrieval) and integrating it into your LangGraph agent's data retrieval step. Provide a sample query and the expected retrieved context.

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.