@ruvector/edge-full

What problem does it solve?

This Skill provides a comprehensive toolkit for running advanced AI functionalities like vector search, graph databases, and neural network inference directly in browser or edge environments, eliminating the need for complex server-side setups.

Core Features & Use Cases

• Vector Search: Efficiently search and retrieve similar data points based on vector embeddings.
• Graph Database: Query and manage complex relationships between data using Cypher, SPARQL, and SQL.
• Neural Inference: Run ONNX models for tasks like classification, object detection, and more, directly on the edge.
• DAG Workflows: Orchestrate complex AI pipelines with a directed acyclic graph scheduler.
• Use Case: Build a fully offline RAG (Retrieval Augmented Generation) application in the browser that embeds user documents, performs similarity searches, and then uses a local LLM for response generation.

Quick Start

Initialize the EdgeRuntime with desired features and start it.