Text Analysis for Hybrid Search: Tokenization, Stopwords & Accent Folding

This article explains key text preprocessing techniques used in hybrid search systems, specifically covering tokenization (breaking text into individual tokens), stopword removal (filtering common words), and accent folding (normalizing accented characters). The guide demonstrates how these text analysis methods are implemented in Weaviate to improve search relevance and performance across both keyword-based and vector-based search components.

Source: Weaviate | 2026-05-14