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rag-llm-ai-system — OKF Bundle for AI Agents

Draft

A Modular, Production-Ready Retrieval-Augmented Generation Pipeline with Open Knowledge Format (OKF), ChromaDB Vector Search & Local LLM Inference

By Pratham1227-beep ★ 0 stars Uncategorized MIT

Best for

  • AI agent development

What it does

  • 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/Pratham1227-beep/rag-llm-ai-system
cd rag-llm-ai-system

Step 2: Point your AI agent at the bundle directory

# Claude Code
claude /path/to/rag-llm-ai-system
# Cursor
cursor /path/to/rag-llm-ai-system
# OpenCode
opencode /path/to/rag-llm-ai-system

Frequently Asked Questions

Is rag-llm-ai-system OKF conformant?

No, rag-llm-ai-system is currently marked as a draft bundle. It may not fully follow the OKF specification yet.

How do I install rag-llm-ai-system?

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 rag-llm-ai-system?

rag-llm-ai-system works with any AI agent that supports OKF bundles, including Claude Code, Cursor, OpenCode. Just point your agent at the bundle directory.