Google Gemini Cookbook
Official collection of guides, quickstarts, and Jupyter notebooks from Google for building with the Gemini API. Covers multimodal prompting, function calling, grounding with Google Search, context caching, audio/video understanding, and agent patterns.
The Collective Intelligence Report.
About Google Gemini Cookbook
Standout Features.
Deep Technical Alpha
Multimodal Examples
Image, audio, video, and PDF understanding examples, Gemini's strongest differentiator with working notebook code.
Grounding with Google Search
Connect Gemini responses to real-time web data via Google Search grounding for factual accuracy.
Context Caching
Cache long contexts (up to 2M tokens) to reduce costs and latency for repeated queries against large documents.
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