RAG fails to eliminate LLM hallucinations with Ruby docs

A user experimented with giving a generic large language model access to Ruby documentation via Retrieval-Augmented Generation (RAG). While RAG did not eliminate hallucinations, it altered their nature. The most notable failures occurred when the model possessed the correct context but still provided incorrect answers, indicating that context alone is insufficient for accurate responses. AI

IMPACT Demonstrates that RAG alone does not solve LLM hallucination issues, even with correct context.

RANK_REASON User experiment with RAG and LLMs, not a formal paper or benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

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