We will explore how to build a product search system that leverages sentence embeddings and similartiy scoring to improve search relevance. For this projekt, we need a lightweight model from “sentence-tansformers” library. Wyh: Because we need per Product Vector Space, that must be fast and stabil. I Founded this “all-MiniLM-L6-v2” model, is small, efficient and maps sentences to 384-dimensional dense vector space, making it suitable for tasks like semantic search. Let’s Start, Step 1: Setting Up the Envrioment: First, install the necessary library: Then, import the required modules and load the model: Step 2: Generation Embeddings: We will generate embeddings […]