219 results
SEPT. 24, 2025 / AI
Data Commons announces the availability of its MCP Server, which is a major milestone in making all of Data Commons’ vast public datasets instantly accessible and actionable for AI developers worldwide.
SEPT. 22, 2025 / AI
Gemini CLI now seamlessly integrates with FastMCP, Python's leading library for building MCP servers. We’re thrilled to announce this integration between two open-source projects that empowers you to effortlessly connect your custom MCP tools and prompts, directly to Gemini CLI!
SEPT. 16, 2025 / AI
The Agent Development Kit (ADK) for Java 0.2.0 now integrates with LangChain4j, expanding LLM support to include third-party and local models like Gemma and Qwen. This release also enhances tooling with instance-based FunctionTools, improved async support, better loop control, and advanced agent logic with chained callbacks and new memory management.
SEPT. 10, 2025 / AI
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.
SEPT. 10, 2025 / AI
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.
SEPT. 8, 2025 / AI
Today's Veo updates include support for vertical format (9:16) and 1080p HD outputs, along with new, lower pricing for Veo 3 ($0.40/second) and Veo 3 Fast ($0.15/second). These models are now stable for production use in the Gemini API. The MediaSim demo app showcases how Gemini's multimodal capabilities combine with Veo 3 for media simulations.
SEPT. 4, 2025 / AI
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.
SEPT. 4, 2025 / Gemma
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.
AUG. 28, 2025 / AI
Detailed prompting techniques and best practices for various applications, including photorealistic scenes, stylized illustrations, product mockups, and more using Google's newly released Gemini 2.5 Flash Image; a natively multimodal model capable of generating, editing, and composing images using text, supporting capabilities like text-to-image, image editing, style transfer, and multi-image composition.
AUG. 27, 2025 / Gemini
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.
