Topic
Models that convert text into vectors so similar meanings sit close together, used as first-stage retrievers in search and retrieval-augmented generation.
Google DeepMind released EmbeddingGemma 2, a 740M-parameter open model that runs on a phone and embeds text, code, images, video and audio in one space. Teams running a separate embedder per modality can consolidate on it if Google's reported benchmark numbers hold on their own data.
Reality
Google released EmbeddingGemma 2, an Apache 2.0 model that maps text, code, images, video and audio into one embedding space with 740M parameters. Phone apps get offline cross-media search from one set of weights, within limits set by a shared 8K-token window and lossy vector truncation.
Perspective Coverage
17 publishersReality
Cohere's Embed 5 lets teams index with Pro at $0.12 per million text tokens and query with Fast at $0.08 against the same vectors. The quality and throughput figures behind that split come from Cohere's own tests, run on datasets and parsing pipelines a buyer may not share.
Reality
A dev.to walkthrough replaces a managed vector store and a hosted embedding API with sqlite-vec and a local model on port 11434. Its schema declares float[768], so changing model dimension means re-embedding everything.
Reality
Mixedbread's embedding model is reported to edge text-embedding-3-large by half a point. The savings case rests on an arithmetic slip and pricing that does not exist yet.
Reality
Perplexity pairs about 190 million web pages with 69,721 agent-written queries, which is closer to production than most retrieval tests get, and keeps the corpus, queries and labels private so it stays the only party able to run it.
Reality