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We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision

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We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision

TL;DR · AI Summary

Google's Gemini API File Search tool introduces three new updates, significantly enhancing the precision and efficiency of building multimodal RAG systems.

Key Takeaways

  • Gemini Embedding 2 model supports simultaneous reasoning across images and text,
  • Custom metadata filtering structures unstructured data through tagging, signific
  • Exact citation feature returns specific page numbers for information sources, en

Outline

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  1. Introduces the latest updates of the Gemini API File Search tool and its impact on developers.

  2. The Gemini Embedding 2 model enables simultaneous reasoning across images and text, enhancing search accuracy.

  3. Structures unstructured data through tagging, significantly improving search speed and efficiency.

  4. The new feature can return specific page numbers, ensuring the accuracy and traceability of data sources.

Mindmap

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查看大纲文本(无障碍 / 无 JS 友好)
  • Gemini API File Search 更新
    • 多模态支持
      • Gemini Embedding 2
    • 自定义元数据过滤
      • 标签结构化
    • 精确引用
      • 具体页码

Highlights

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  • Gemini Embedding 2 model supports simultaneous reasoning across images and text, enhancing multimodal search capabilities.

    Paragraph 2

    ⬇︎ 下载 PNG𝕏 分享到 X
  • Custom metadata filtering structures unstructured data through tagging, significantly improving search speed.

    Paragraph 3

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  • Exact citation feature returns specific page numbers for information sources, ensuring accurate data traceability.

    Paragraph 4

    ⬇︎ 下载 PNG𝕏 分享到 X
#Gemini API#Multimodal Search#RAG Systems
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+ Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text https://t.co/jhKbmHLBzD" / X

Image 1: Square profile picture

We’re expanding the Gemini API File Search tool Image 2: 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in

. Chat with your entire image and doc library, ask questions, and trace answers back to the source: goo.gle/4tKSz1k

Image 3

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我们正在扩展Gemini API文件搜索工具🔍,新增三项更新,使开发人员能够更轻松地构建具有更高精度的多模态RAG系统 | Google AI Developers(@googleaidevs) | traeai