“BeeRad”
733d1c3407
Local-first knowledge management system with BYO API keys. Features: - 3-panel UI (Nodes | Focus | Helpers) - SQLite + sqlite-vec for vector search - Agent system (Easy/Hard mode orchestrators) - Content extraction (YouTube, PDF, web) - Integrate workflow for connection discovery - Dimension system with auto-assignment Tech stack: - Next.js 15 + TypeScript + Tailwind CSS - Anthropic (Claude) + OpenAI (GPT) via Vercel AI SDK Setup: npm install && npm rebuild better-sqlite3 scripts/dev/bootstrap-local.sh npm run dev MIT License
29 lines
1.2 KiB
Markdown
29 lines
1.2 KiB
Markdown
# RA-H Overview
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## What is RA-H?
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RA-H is a flexible knowledge management system designed for researchers. It learns how you think and helps connect ideas across your knowledge base.
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For more information, visit [ra-h.app](https://ra-h.app)
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## Design Philosophy
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**Non-prescriptive & emergent** - The system doesn't force you into folders or predefined categories. Organization emerges naturally from your actual content. The structure adapts to how you think, not the other way around.
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**Everything is connected** - Every piece of knowledge can potentially connect to any other. Connections aren't just links - they carry context, explanation, and meaning.
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**Local-first** - Your knowledge network belongs to you, not a platform. Your thinking, research, and connections all belong to you in a portable format you control.
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## Tech Stack
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- **Frontend:** Next.js 15, TypeScript, Tailwind CSS
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- **Database:** SQLite + sqlite-vec (vector search)
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- **AI:** Anthropic Claude + OpenAI GPT via Vercel AI SDK
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- **Deployment:** Currently beta web bundle, Mac app coming soon
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## Current Status
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- **Version:** Beta (private distribution)
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- **Platform:** Web-based (Next.js server)
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- **Roadmap:** Native Mac application with user data migration
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