self-grow-wiki — OKF Bundle for RAG Pipelines
OKF ✓ v0.1FANUC RAG Knowledge Base — pluggable retrieval + SAG hybrid search + OKF concepts. 97.4% flywheel, 29ms avg. pip install rag-fanuc.
Best for
- RAG (Retrieval Augmented Generation) pipelines
What it does
- FANUC RAG Knowledge Base — pluggable retrieval + SAG hybrid search + OKF concepts.
- 97.4% flywheel, 29ms avg.
- pip install rag-fanuc..
How to use with AI agents
Step 1: Clone the repository
git clone https://github.com/Ikalus1988/self-grow-wiki
cd self-grow-wikiStep 2: Point your AI agent at the bundle directory
# Claude Code
claude /path/to/self-grow-wiki# Cursor
cursor /path/to/self-grow-wiki# OpenCode
opencode /path/to/self-grow-wikiFrequently Asked Questions
Is self-grow-wiki OKF conformant?
Yes, self-grow-wiki is OKF conformant (version 0.1). This means it follows the Open Knowledge Format specification.
How do I install self-grow-wiki?
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 self-grow-wiki?
self-grow-wiki 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 self-grow-wiki?
Similar bundles include mnemos, okf-ingest, open-knowledge-format-starter. Browse these for alternative approaches and feature sets.