Retrieval-augmented generation and grounded generation pipelines.
Keep added an in-app feed reader so saved links can be read directly inside its bookmark store for agent workflows. Use it to turn bookmarks, RSS feeds, and markdown exports into reusable context instead of scattered tabs.
Google launched Gemini Embedding 2 in preview, unifying multiple modalities and 100+ languages in one embedding space with flexible output dimensions. Try it to simplify cross-modal RAG and search pipelines, but compare it with late-interaction systems before committing.
Google put Gemini Embedding 2 into public preview with one vector space for text, images, video, audio, and PDFs, plus 3072, 1536, and 768 output sizes. Use it to replace multi-model retrieval pipelines with one API for RAG and cross-media search.
