Weaviate text2vec: Behind the Scenes — Reproducing Vectorization

AI Impact Summary

Weaviate's text2vec modules utilize external APIs like Cohere or HuggingFace to generate dense vectors from text objects, enabling semantic search capabilities. This analysis reveals the specific steps involved in this process, including alphabetical sorting, value concatenation, class name prepending, and lowercasing, which contribute to the vectorization of data. Understanding these nuances allows users to reproduce Weaviate's default behavior and customize the vectorization process for specific needs.