An experimental project designed for embedding-based text similarity search in web pages.

This project extends the v2-0 Hybrid Model (statistical features + TTM embeddings) by adding a third modality: text embeddings derived from equipment master data. The three feature vectors — statistical x ∈ ℝ²⁸, TTM embedding y ∈ ℝ⁶⁴, and text embedding z ∈ ℝ¹⁰²⁴ — are concatenated into a 1,116-dimensional triplet feature h and fed into a LightGBM.