Google has expanded its Gemini API File Search tool to support multimodal RAG systems, allowing developers to process both text and visual data. This update, powered by the Gemini Embedding 2 model, enables more context-aware agents and offers custom metadata filtering for improved search accuracy and speed. Additionally, the tool now provides page citations to enhance transparency and verifiability by linking responses directly to their source documents. AI
Summary written by gemini-2.5-flash-lite from 8 sources. How we write summaries →
IMPACT Enhances RAG system capabilities by enabling multimodal data processing and improving transparency, potentially accelerating development for AI applications.
RANK_REASON Product update to an existing API feature.