rag-ai-scientist

Jan 1, 2026 · 1 min read

Creator and core maintainer of rag-ai-scientist, a modular framework for evaluating LLM and agent systems over dense scientific corpora. It implements hybrid semantic search, factual-grounding harnesses, and context chunkers used in the CHEP 2026 Future-Ready Restoration work on reviving a legacy LHCb analysis.

Source: github.com/uzzielperez/rag-ai-scientist · PyPI