Future-Ready Restoration: A Case Study on AI RAG-Enhanced Agentic Revival of a Run-2 2016 Λb → Λγ Analysis
May 25, 2026·
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0 min read
Uzziel Perez
Abstract
We present a retrieval-augmented, agentic LLM tool that combines Claude and GPT-family models with a vector database built over analysis scripts, notes, and documentation, integrated with the LHCb software stack, to reproduce and accelerate a legacy Run-2 Λb → Λγ analysis. Benchmarking against non-RAG baselines is ongoing.
Date
May 25, 2026 — May 29, 2026
Event
Location
Chulalongkorn University, Bangkok, Thailand
