weaviate-rag
CommunityWeaviate-powered RAG for semantic search.
Authorastoeffer
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Implements a Weaviate-based RAG system for document embedding, retrieval, and semantic search.
Core Features & Use Cases
- Weaviate Client: Configures a Weaviate client with embedding support.
- Schema & Embedding: Defines a MoodleDocument class and embedding models.
- Dockerized Run: Docker commands to start Weaviate and Chainlit UI.
Quick Start
Start Weaviate, initialize the schema, and run the chat/UI interface to begin semantic search on your documents.
Dependency Matrix
Required Modules
None requiredComponents
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: weaviate-rag Download link: https://github.com/astoeffer/plugin-marketplace/archive/main.zip#weaviate-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.