Skills
.Work. You
Rest

gemini-embeddings

Community

Generate text embeddings for AI.

Software Engineering#semantic search#embeddings#ai#rag#vector database#gemini
AuthorFutureAtoms
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the generation of text embeddings, crucial for enabling AI models to understand and process text semantically for tasks like search and retrieval.

Core Features & Use Cases

  • Semantic Search: Create embeddings for documents and queries to find semantically similar content.
  • RAG Implementation: Generate embeddings for documents to be used in Retrieval Augmented Generation systems.
  • Vector Database Integration: Provides examples for integrating with popular vector databases like Pinecone, ChromaDB, and Supabase pgvector.
  • Use Case: You have a large collection of customer support articles. Use this Skill to generate embeddings for each article, allowing you to quickly find the most relevant article when a customer asks a question.

Quick Start

Use the gemini-embeddings skill to generate embeddings for the text "What is the meaning of life?".

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: gemini-embeddings
Download link: https://github.com/FutureAtoms/claude-skills-backup/archive/main.zip#gemini-embeddings

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.