Gemini

Gemini Embeddings API

Text embedding capabilities through the Gemini API, generating vector representations for semantic search, classification, clustering, and retrieval augmented generation (RAG) applications.

GitHub

Documentation

📖
Documentation
https://ai.google.dev/gemini-api/docs/embeddings

Other Resources

🔗
Model Card
https://ai.google.dev/gemini-api/docs/models/gemini-embedding-001

API entry from apis.yml

apis.yml Raw ↑ 
name: Gemini Embeddings API
description: Text embedding capabilities through the Gemini API, generating vector representations for
  semantic search, classification, clustering, and retrieval augmented generation (RAG) applications.
humanURL: https://ai.google.dev/gemini-api/docs/embeddings
baseURL: https://generativelanguage.googleapis.com
tags:
- Embeddings
- Rag
- Semantic Search
- Text Embeddings
- Vector Search
properties:
- type: Documentation
  url: https://ai.google.dev/gemini-api/docs/embeddings
- type: Model Card
  url: https://ai.google.dev/gemini-api/docs/models/gemini-embedding-001