Google Gemini Embeddings

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by ovachiever · vlatest · Repository

This skill generates Google Gemini embeddings for your text data, enabling semantic search and powerful AI applications like similarity analysis.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add ovachiever-google-gemini-embeddings npx -- -y @trustedskills/ovachiever-google-gemini-embeddings
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "ovachiever-google-gemini-embeddings": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/ovachiever-google-gemini-embeddings"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill leverages Google Gemini embeddings to generate vector representations of text. These embeddings can be used for semantic search, similarity comparisons between texts, and clustering related documents. It allows AI agents to understand the meaning behind text rather than just keywords.

When to use it

  • Semantic Search: Find relevant documents or information based on the meaning of a query, even if the exact words don't match.
  • Content Recommendation: Suggest similar articles or products to users based on their browsing history or preferences.
  • Duplicate Detection: Identify near-duplicate content across a large dataset of text.
  • Clustering Documents: Group related documents together for better organization and analysis.

Key capabilities

  • Generates Google Gemini embeddings from text input.
  • Provides vector representations suitable for similarity comparisons.
  • Supports various text lengths.

Example prompts

  • "Generate an embedding for the following sentence: 'The quick brown fox jumps over the lazy dog.'"
  • "Create a vector representation of this product description."
  • "Embed these customer reviews to find similar feedback."

Tips & gotchas

  • Gemini embeddings are sensitive to nuances in language. Experiment with different prompts and text variations to achieve desired results.

Tags

🛡️

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Details

Version
vlatest
License
Author
ovachiever
Installs
27

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Passed automated security scans.