Bm25

Layering every technique in RAG, one query at a time - David Karam, Pi Labs (fmr. Google Search)

Layering every technique in RAG, one query at a time - David Karam, Pi Labs (fmr. Google Search)

David Karam, formerly of Google Search, presents a pragmatic framework for enhancing RAG systems, advocating a "quality engineering" approach. The talk progresses through a ladder of techniques, from in-memory retrieval and BM25 to custom embeddings, re-ranking, and advanced orchestration, emphasizing that the choice of technique should be driven by empirical analysis of system failures ("loss analysis") and balanced by a "complexity-adjusted impact" mindset.

Information Retrieval from the Ground Up - Philipp Krenn, Elastic

Information Retrieval from the Ground Up - Philipp Krenn, Elastic

Philipp Krenn from Elastic demystifies the 'R' in RAG, arguing that modern retrieval is a sophisticated blend of classic keyword search (like BM25) and modern vector search. This workshop explores the fundamentals of lexical analysis, scoring, dense/sparse vectors, and advanced hybrid search techniques like Reciprocal Rank Fusion (RRF).