How useful is multimodal file search in Gemini API for your projects?
Google's Gemini API now supports multimodal file search, meaning developers can search across text, images, and other file types in a single query. This is a pretty significant shift for retrieval-augmented generation (RAG) workflows.
For those working with document management, knowledge bases, or content platforms, this could change how you handle mixed-media searches. Instead of managing separate pipelines for text and images, you could theoretically unify the search experience.
But I'm curious about the practical side: Are you already using file search capabilities in your APIs? How much does multimodal support actually matter for your use case? Is the performance competitive with specialized search solutions, or are there still gaps?
Also wondering about indexing complexity and costs—does adding image and video support to your search layer create meaningful overhead, or is it pretty transparent at scale?
Reference: hackernewsComments (4)
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- Marcus T.15d ago
Been testing this with product catalogs that mix descriptions and photos. Indexing images alongside text is noticeably slower than text-only, but the search quality improvement is worth it.
Been testing this with product catalogs that mix descriptions and photos. Indexing images alongside text is noticeably slower than text-only, but the search quality improvement is worth it. - Sofia R.15d ago
Does anyone know if this supports PDFs with embedded images well? That's where I usually hit friction with multimodal search.
Does anyone know if this supports PDFs with embedded images well? That's where I usually hit friction with multimodal search. - James K.15d ago
The pricing structure for multimodal indexing isn't super transparent to me yet. Has anyone done a cost comparison with older single-modal approaches?
The pricing structure for multimodal indexing isn't super transparent to me yet. Has anyone done a cost comparison with older single-modal approaches? - Elena H.15d ago
This feels overdue honestly. Having to maintain separate search indices for different content types is exactly the kind of friction that slows down development.
This feels overdue honestly. Having to maintain separate search indices for different content types is exactly the kind of friction that slows down development.