Remember when search meant tokenizing text and hoping for keyword hits? In 2025, that feels prehistoric. Large-language models, recommendation engines, and multimodal apps all speak the language of vectors—dense arrays that capture meaning far better than rows and columns ever could. As demand for retrieval-augmented generation (RAG) and semantic search skyrockets, a brand-new layer of + Read More The post Most Popular Vector Databases You Must Know in 2025 appeared first on Dataaspirant.
