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venice-embeddings

Official

Generate text embeddings for retrieval, clustering, and RAG.

Data & Analytics#RAG#retrieval#semantic analysis#clustering#text embeddings
Authorveniceai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides the ability to generate vector embeddings for text, enabling advanced applications like retrieval, clustering, and reasoning about aggregates (RAG).

Core Features & Use Cases

  • Text Embeddings: Generate embeddings for text data.
  • OpenAI Compatibility: Directly compatible with OpenAI SDK for embeddings.
  • Use Case: For building applications that require understanding the semantic similarity between texts, such as information retrieval systems or content recommendation engines.

Quick Start

Generate embeddings for the text "Why is the sky blue?" using the venice-embeddings skill.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: venice-embeddings
Download link: https://github.com/veniceai/skills/archive/main.zip#venice-embeddings

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