taiwan-building-code-rag-benchmark — OKF Bundle for Knowledge Graphs
DraftAn advanced AI knowledge retrieval architecture comparison (Hybrid RAG vs Graph RAG vs OKF-Wiki), benchmarked on the Taiwan Building Regulations dataset.
Best for
- Knowledge graph and knowledge management systems
- RAG (Retrieval Augmented Generation) pipelines
What it does
- Builds and maintains a structured knowledge graph from markdown content
- Portable knowledge package that AI agents can load and use at runtime
- Version-controlled with standard Git workflows for collaboration
How to use with AI agents
Step 1: Clone the repository
git clone https://github.com/YuJunWang/taiwan-building-code-rag-benchmark
cd taiwan-building-code-rag-benchmarkStep 2: Point your AI agent at the bundle directory
# Claude Code
claude /path/to/taiwan-building-code-rag-benchmark# Cursor
cursor /path/to/taiwan-building-code-rag-benchmark# OpenCode
opencode /path/to/taiwan-building-code-rag-benchmarkFrequently Asked Questions
Is taiwan-building-code-rag-benchmark OKF conformant?
No, taiwan-building-code-rag-benchmark is currently marked as a draft bundle. It may not fully follow the OKF specification yet.
How do I install taiwan-building-code-rag-benchmark?
Clone the repository and point your AI agent at the bundle directory. The agent will automatically discover and load the OKF knowledge. No additional tools or SDKs are required.
What AI agents can use taiwan-building-code-rag-benchmark?
taiwan-building-code-rag-benchmark works with any AI agent that supports OKF bundles, including Claude Code, Cursor, OpenCode. Just point your agent at the bundle directory.
What are alternatives to taiwan-building-code-rag-benchmark?
Similar bundles include okf-agents, OKF_Studio_EGT, okf-graphify. Browse these for alternative approaches and feature sets.