Search LingjingHub
Search news, tools, models, tutorials, workflows, and community content.
3 results
Google Gemini Embedding API Docs: Using Task Types to Guide Text Embeddings
Google’s official documentation explains the Gemini Embedding API as a way to represent text as numerical vectors, with task types used to tailor embeddings to specific use cases.
Gemini API Embeddings Tutorial: Document vs. Query Representations
Based on Google’s official Embeddings documentation, this draft explains how the Gemini API represents text as vectors and why retrieval workflows distinguish document embeddings from query embeddings.
Gemini Embedding 2: An Official-Docs-Based Capability Brief
Google’s official Gemini API documentation describes Gemini Embedding as a way to convert text into vector representations for semantic similarity, retrieval, classification, and clustering. This draft separates documented facts from editorial interpretation and relies only on the supplied source.