Quick summary: EmbeddingGemma 2 is Google’s new open embedding model. It maps text, code, images, video and audio into one shared 768-dimensional vector space. The full model has 740M parameters (270M text, 170M vision, 300M audio) and ships under Apache 2.0 with an 8K context window. You can load only the text part for small […]
In brief: Claude Code’s documented use of ripgrep shows how capable agent-led search can be. It does not prove Claude Code replaced vector search, or that vector search is obsolete. Keyword search is often simpler for exact names and current source files; semantic retrieval can help with vague questions and paraphrases. Choose with evidence from […]
HNSW vector search is one of the quiet constraints behind a useful RAG system. A support assistant with a few hundred document chunks can compare a question with every chunk. At millions of vectors, that simple approach turns every question into a large numerical scan. Hierarchical Navigable Small World graphs, usually shortened to HNSW, offer […]