Since announcing the general availability of our Gemini Embedding text model, we've seen developers rapidly adopt it to build advanced AI applications. Beyond traditional use cases like classification, semantic search, and retrieval-augmented generation (RAG), many are now using a technique called context engineering to provide AI agents with complete operational context. Embeddings are crucial here, as they efficiently identify and integrate vital information—like documents, conversation histor...