Gemini API Gains Multimodal File Search for RAG Workflows

Google's developer blog highlights that the Gemini API's File Search capability is now multimodal, enabling developers to build retrieval-augmented generation pipelines that can retrieve and verify content across file types beyond plain text. The update also introduces Webhooks in the Gemini API to reduce latency and friction for long-running jobs, a practical improvement for production deployments where synchronous request handling becomes a bottleneck. A separate post describes multi-token prediction drafters for Gemma 4, described as a technique to accelerate inference speed. These three developer-facing updates together suggest Google is focused on making Gemini-based applications more production-ready in mid-2026, particularly for enterprise use cases involving document processing, agentic pipelines, and cost-sensitive inference. Specific throughput numbers or pricing changes are not mentioned in the index, but the direction is toward lower latency and broader file type support at the API layer.