ruvector-onnx-embeddings-wasm
CommunityBrowser-based text embeddings
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the generation of text embeddings directly within the browser or on edge devices, eliminating the need for server-side infrastructure for AI model inference.
Core Features & Use Cases
- On-Device Embeddings: Generate embeddings using ONNX Runtime compiled to WebAssembly, with SIMD and multi-threading support.
- Offline Capability: Build applications that can generate embeddings without an internet connection.
- Use Case: Develop a semantic search feature for a web application that works entirely in the user's browser, allowing for fast, private, and offline-capable search functionality.
Quick Start
Use the ruvector-onnx-embeddings-wasm skill to generate embeddings for the text 'Hello world'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: ruvector-onnx-embeddings-wasm Download link: https://github.com/ricable/cli-skills-builder/archive/main.zip#ruvector-onnx-embeddings-wasm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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