Embeddings & Vector DBs — Synthszr Charts

This category covers embedding models and vector databases that convert text, images or other data into numerical representations, or store and make them searchable. Examples include models such as Gemini Embedding 2, text-embedding-3 and BGE-M3, as well as databases like Weaviate 1.37. They are mainly used for semantic search, retrieval-augmented generation (RAG) and similarity comparisons in applications handling large volumes of data.

The Synthszr Charts measure each product's momentum based on mentions across thousands of news and newsletter sources. Weighting is recency-based, so recent coverage counts more than older coverage, and version-granular, meaning Gemini Embedding 2, for instance, is tracked separately from earlier versions. The ranking is updated daily.