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  • SEPT. 10, 2025 / AI

    Gemini Batch API now supports Embeddings and OpenAI Compatibility

    Batch API now supports Embeddings and OpenAI CompatibilityToday we are extending the Gemini Batch AP...

    GeminiBatchAPI_16x9_RD2-V01
  • SEPT. 9, 2025 / AI

    Announcing Genkit Go 1.0 and Enhanced AI-Assisted Development

    We are launching 1.0 stable release of Genkit Go, empowering Go developers to build performant, production-ready AI-powered applications with Genkit. Recent enhancements include support for integrating and building MCP tools, expanding third-party model provider support, and production AI monitoring with Firebase. Additionally, we are announcing a new feature in the Genkit CLI to provide AI development tools, like the Gemini CLI and Cursor, with the latest knowledge of Genkit - supercharging Genkit development experience when using AI assistance.

    Genkit-Go-1.0-BlogMeta
  • SEPT. 8, 2025 / AI

    Veo 3 and Veo 3 Fast – new pricing, new configurations and better resolution

    Today, we’re launching three big Veo updates: support for vertical format outputs (9:16 aspect ratio...

    veo3-generally-available-social
  • SEPT. 5, 2025 / Mobile

    Google AI Edge Gallery: Now with audio and on Google Play

    Google AI Edge has expanded the Gemma 3n preview to include audio support. Users can play with it on their own mobile phone using the Google AI Edge Gallery, which is now available in Open Beta on Play Store.

    GoogleAIEdge_Metadatal_RD2-V01
  • SEPT. 4, 2025 / Gemma

    Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings

    Introducing EmbeddingGemma: a new embedding model designed for efficient on-device AI applications from Google. This open model is the highest-ranking text-only multilingual embedding model under 500M parameters on the MTEB benchmark, enabling powerful features like RAG and semantic search directly on mobile devices without an internet connection.

    EmbeddingGemma_Metadata
  • SEPT. 4, 2025 / AI

    From Fine-Tuning to Production: A Scalable Embedding Pipeline with Dataflow

    Learn how to use Google's EmbeddingGemma, an efficient open model, with Google Cloud's Dataflow and vector databases like AlloyDB to build scalable, real-time knowledge ingestion pipelines.

    EG+Dataflow_Metadatal
  • AUG. 27, 2025 / Gemini

    Beyond the terminal: Gemini CLI comes to Zed

    Google and Zed have partnered to integrate Gemini CLI directly into the Zed code editor, bringing AI capabilities directly into the editor for developers and allowing for faster and more focused coding, enabling tasks like in-place code generation, instant answers, and natural chat within the terminal with a seamless review workflow for AI-generated changes.

    Gemini CLI is now integrated into Zed, bringing AI directly to your code editor
  • AUG. 27, 2025 / Google Labs

    Stop “vibe testing” your LLMs. It's time for real evals.

    Stax, an experimental developer tool, addresses the insufficient nature of "vibe testing" LLMs by streamlining the LLM evaluation lifecycle, allowing users to rigorously test their AI stack and make data-driven decisions through human labeling and scalable LLM-as-a-judge auto-raters.

    Stax
  • AUG. 26, 2025 / Gemini

    Introducing Gemini 2.5 Flash Image, our state-of-the-art image model

    Gemini 2.5 Flash Image is a new state-of-the-art image generation and editing model that allows for blending multiple images, maintaining character consistency, and targeted transformations using natural language, leveraging Gemini's world knowledge, now available through the Gemini API, Google AI Studio, and Vertex AI.

    Introducing Gemini 2.5 Flash Image
  • AUG. 18, 2025 / Gemini

    URL context tool for Gemini API now generally available

    The Gemini API's URL Context tool is now generally available, allowing developers to ground prompts using web content instead of manual uploads. This release expands support to PDFs and images.

    URL context tool for Gemini API now generally available