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LlamaIndex Indexing & Monitoring Setup

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Linked challenge: Office Conversion Feasibility RAG Pipeline with LlamaIndex & Fiddler AI

Format
Code-aware
Lines
4
Sections
3
Linked challenge
Office Conversion Feasibility RAG Pipeline with LlamaIndex & Fiddler AI

Prompt source

Original prompt text with formatting preserved for inspection.

4 lines
3 sections
No variables
0 checklist items
Initialize a LlamaIndex VectorStoreIndex over the provided architectural document collection. Integrate Fiddler AI to log chunk extractions and detect hallucination flags. Use the following setup:

from llamaindex.core import VectorStoreIndex, SimpleDirectoryReader
import fiddler as fdl

# Configure LlamaIndex and log evaluation events to Fiddler AI

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.