Gemini API File Search gets multimodal

This is the kind of upgrade that makes managed RAG feel less like a convenience wrapper and more like a real production primitive.

• –Multimodal indexing is the big deal here: teams can search diagrams, screenshots, and docs in one retrieval layer instead of bolting on separate pipelines
• –Page-level citations improve trust, especially for workflows where users need to verify claims back to a source PDF or asset
• –Metadata filters matter as much as embeddings at scale; they cut down retrieval noise before the model ever sees it
• –The pitch is clearly aimed at agents and knowledge apps that need grounded answers without building vector infrastructure from scratch
• –Google is leaning into “verifiable RAG,” which is a stronger story than generic “AI search” marketing