Not at all! There are several freely available AI models and libraries that allow developers to generate embeddings from text, image, or time-series data. For example, you can use HuggingFace Sentence Transformers to generate embeddings for sentences, Img2Vec to generate embeddings for images, and Facebook Kats to generate embeddings for time-series data. AI/ML practitioners are familiar with the concept of generating "dense" feature representations (a.k.a embeddings) for their data entities. They can now store these feature vectors in Redis and perform similarity searches on them.