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Build LlamaIndex Audit Query Engine
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Linked challenge: Private Equity AI Risk Audit System with LlamaIndex RAG
Format
Code-aware
Lines
4
Sections
2
Linked challenge
Private Equity AI Risk Audit System with LlamaIndex RAG
Prompt source
Original prompt text with formatting preserved for inspection.
4 lines
2 sections
No variables
0 checklist items
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader from llama_index.core.tools import QueryEngineTool, ToolMetadata # Construct a LlamaIndex agent query engine that indexes company technical architecture docs # and checks them against EU AI Act compliance standards.
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.