Gemini API File Search now supports multimodal RAG

Google's Gemini API File Search now supports multimodal RAG, adding custom metadata filtering and page-level citations to its retrieval pipeline. Developers can now ground responses with precise source attribution at the page level, reducing hallucination risk in production RAG systems. This positions Gemini's native File Search as a direct competitor to LlamaIndex and LangChain retrieval stacks, eliminating the need for external vector orchestration layers for multimodal document workflows.