shuiyuan-rag-service
CommunityKeep Shuiyuan search fast with shared RAG service
Authorxhh678876
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves slow and resource-heavy Shuiyuan Community RAG searches by maintaining a persistent HTTP service with preloaded embedding and reranking models instead of repeated cold starts.
Core Features & Use Cases
- Persistent RAG Service: Runs a FastAPI-based Shuiyuan retrieval service that keeps BGEM3 embedding and BGE reranker models loaded in memory for shared access.
- Service Operations: Supports health checks, search requests, statistics queries, reload workflows, and troubleshooting for RAG availability issues.
- Use Case: When Shuiyuan Community search becomes unavailable or slow, use this Skill to check service status, restart the daemon, or restore retrieval capabilities for connected clients.
Quick Start
Ask the AI to start the Shuiyuan RAG service and check its HTTP health status.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: shuiyuan-rag-service Download link: https://github.com/xhh678876/openclaw-sjtu/archive/main.zip#shuiyuan-rag-service Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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