Welcome to the AI Help Wiki

Explore clear, curated, and community-verified guides on artificial intelligence.

[!NOTE] Project Status: Experimental The AI Help Wiki is an experimental Docs-as-Code playground exploring automated multi-agent moderation (AI Council) and collaborative on-site editing. Treat all content, code pipelines, and architectures as sandbox prototypes.

The Project North Star

Our mission is to provide developers with factual, highly structured, and actionable data to construct AI “builds” (applications) using optimal components. Modeled in the spirit of gaming databases (like Fextralife/ESO-Hub), this wiki serves as a reference catalog and quest-like walkthrough engine for AI Engineering.

Catalog Scope

To maintain data integrity and prevent value dilution, we enforce strict content boundaries:

In-Scope: AI Mechanics

Component Database: Model stats, context windows, vector DB specs, and tool pricing.
Implementation Recipes: Blueprints for RAG pipelines, agents, and fine-tuning.
Formulas: Context memory scaling, RRF search fusion math, and latency formulas.

Out-of-Scope: Hype & Drama

Corporate News: Executive hires, funding announcements, or community gossip.
Vague Speculation: Opinions about AGI timelines or subjective philosophy.
Marketing: Product pitches lacking benchmarks, architecture maps, or open code.

What is the AI Help Wiki?

Docs-as-Code Workflow

All contributions are submitted as Pull Requests on GitHub. Merges are quick and fully versioned.

AI Council Evaluation

PRs are automatically evaluated by AI agents checking for accuracy (Ground Truth) and style alignment.

Shared Accountability

We perform reasonable due diligence (linting and AI fact-checking), but contributors and readers are accountable for verifying code before production deploy.

High Performance

Built on Astro Starlight, compiling to optimized static HTML with zero client-side JS by default.