Gemini API: Upgrades File Search Tool
Gemini API boosts File Search with multi-modal support, Gemini Embedding 2, custom metadata, and free embedding generation for AI builders.
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Google just supercharged its Gemini API with a massive upgrade to the File Search tool, turning RAG-as-a-service into a powerhouse for developers. Builders can now upload files directly, scoring built-in embedding generation and storage at no extra cost, all powered by the advanced Gemini Embedding 2 model. This multi-modal beast adds custom metadata and inline citations, slashing setup time for AI apps amid the raging AI industry impact. Drawing from last year's RAG evolutions in AI APIs, this move crushes barriers in retrieval-augmented generation, fueling hype around tools like HYPE in the crypto-tech crossover. Dive into the docs for full Gemini API updates and file search tool features.
Richard Seroter
@rseroterSenior Director and Chief Evangelist @googlecloud, writer, speaker.