Posts by Patrick Löber

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  • APRIL 30, 2026 / AI

    Building with Gemini Embedding 2: Agentic multimodal RAG and beyond

    Google has announced the general availability of Gemini Embedding 2, a unified model that maps text, images, video, audio, and documents into a single semantic space. This model allows developers to process interleaved multimodal inputs in a single request, significantly improving performance for tasks like agentic RAG, visual search, and content moderation. By supporting over 100 languages and offering features like task-specific prefixes and Matryoshka dimensionality reduction, the model provides a highly efficient and accurate foundation for building complex AI agents.

    gemini-embedding2-retrieval_52 (2)
  • SEPT. 10, 2025 / AI

    Gemini Batch API now supports Embeddings and OpenAI Compatibility

    Gemini Batch API now supports Embeddings and OpenAI compatibility, allowing asynchronous processing at 50% lower rates. The new Gemini Embedding Model can be leveraged with the Batch API for cost-sensitive use cases. OpenAI SDK compatibility simplifies switching to Gemini Batch API.

    GeminiBatchAPI_16x9_RD2-V01