This project offers a curated catalog of semantic anchors—well-defined terms, methodologies, and frameworks—designed to enhance precision and efficiency when communicating with Large Language Models (LLMs). It targets technical professionals, providing a structured vocabulary that activates specific knowledge domains within LLMs, thereby reducing ambiguity and conveying complex concepts concisely. The interactive website allows users to explore these anchors via a treemap visualization, filter by professional roles, and perform real-time searches.

How It Works

Semantic anchors serve as a shared vocabulary between humans and LLMs, acting as precise reference points. When an anchor is used, it triggers specific, contextually rich knowledge domains within the LLM's training data. This approach allows for the activation of complex frameworks or concepts with minimal tokens, ensuring LLMs interpret terms as the community intends and enabling richer context compression.

Quick Start & Requirements

• Primary install/run command: Clone the repository, navigate to the website directory, and run npm install followed by npm run dev for the development server.
• Non-default prerequisites: Node.js 20+ and npm are required.
• Links:
  • Interactive Website: https://llm-coding.github.io/Semantic-Anchors/
  • Issues: https://github.com/LLM-Coding/Semantic-Anchors/issues
  • Discussions: https://github.com/LLM-Coding/Semantic-Anchors/discussions
  • Contributing Guide: CONTRIBUTING.md

Highlighted Details

• Features an interactive treemap visualization of 46+ semantic anchors.
• Supports role-based filtering across 12 professional roles and includes a bilingual UI (English/German).
• Content is structured using AsciiDoc and leverages Vite, Apache ECharts, and Tailwind CSS for the website.
• Project phases are clearly defined, with Foundation and Website phases complete, Deployment in progress, and Enhancements planned.

Maintenance & Community

The project is maintained by @rdmueller, with contributions welcomed from the community. Links to GitHub Issues and Discussions are provided for engagement and proposals.

Licensing & Compatibility

This project is licensed under the MIT License, which is generally permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

The project is actively under development, with deployment tasks currently in progress (Phase 3) and planned enhancements (Phase 4) including advanced search features and LLM validation workflows.