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title Zolai-AI Organization
description Open-source language technology for Tedim Zolai (ZVS 2018)
created 2026-09-04
last_updated 2026-09-18
maintainer Peter Pau Sian Lian (@peterlianpi)
license MIT

Zolai-AI

Tedim Zolai language technology & AI research

Zolai AI builds trustworthy language data, knowledge infrastructure, NLP tools, literacy resources, and community-oriented applications for Tedim Zolai (ZVS 2018). Specialized model training is later-stage when the foundation is reliable.

Mission

Create practical, evidence-based language technology and knowledge infrastructure that help Tedim Zolai (ZVS 2018) speakers and learners access information, learn language, and participate digitally — grounded in verified data and responsible use.

Vision

A durable Zomi language-technology ecosystem: community-informed tools, open research, measurable literacy impact, and sustainable operations.

Data, evaluation, research, and community impact first; specialized model training follows when the foundation is reliable.

Repositories

Repo Purpose Status Stars
zolai-core Python toolkit + RAG Knowledge Brain ✅ Active —
zolai-web Learner platform (Next.js + Hono + Prisma) ✅ Active —
zolai-tauri Offline desktop app (Tauri 2) 🔄 Early —
zolai-datasets Bilingual corpora & datasets (HF/Kaggle) ✅ Active —
zolai-training LoRA/QLoRA fine-tuning + GGUF export 🔄 Early —
zolai-wiki Knowledge base (grammar, vocab, curriculum) ✅ Active —
zolai-mcp-server MCP server for ChatGPT/Gemini/Claude ✅ Live —
zolai-landing Org landing page for zolai.space ✅ Live —
zolai-ai.github.io GitHub Pages org landing ✅ Live —
.github Org profile + community + workflows ✅ Complete —

Live URLs

Service URL Status
Landing page https://zolai.space/ ✅ LIVE
MCP server https://mcp.zolai.space/mcp ✅ LIVE

Ecosystem Architecture

zolai-wiki (knowledge) → zolai-core (RAG retrieval + n-gram prediction)
                              ↓
                    zolai-web (online) + zolai-tauri (offline)

/data (4GB shared) → zolai-datasets (build/publish) → zolai-training (LoRA/QLoRA)

zolai-core (/api/v1/mcp, OAuth 2.1) → mcp.zolai.space (nginx) → ChatGPT, Gemini, Claude, Cursor, VS Code (MCP protocol)
zolai-landing → Cloudflare Pages → zolai.space (org landing page)

Data

All data lives in data/zolai.db (SQLite WAL, ~2.3GB, 99 tables, ~3.3M rows).

Table Rows Purpose
dictionary (ZO→EN) 84,490 Zolai→English (master, cleaned)
dictionary_en_zo (EN→ZO) 64,025 English→Zolai + Burmese
bible_verses 31,102 Parallel EN/ZO/MY verses
translations 207,623 EN↔ZO + EN→MY sentence pairs
syllable_data 189,563 Syllable segmentation
vocabulary 104,906 Vocabulary index with frequency
training_exercises 82,159 5 exercise types
word_alignments 385,120 Word-level ZO↔EN alignment

See zolai-datasets/data/CREDITS.md for full attribution.

Documentation

Document Location Description
Project context docs/context/project-context.md Canonical context for agents & contributors
Mission & Vision docs/strategy/mission-vision.md Identity and strategic pillars
Source of Truth docs/governance/source-of-truth.md Canonical doc owners by domain
Architecture status docs/architecture/status.md Implemented / Experimental / Planned
Research docs/research/ Agenda, gaps, literature (verify citations)
Grants docs/grants/ Strategy + opportunity tracker (researching)
Strategic Audit docs/strategy/01-strategic-audit.md Full ecosystem audit
OKRs docs/strategy/okr.md Annual + 90-day OKR entry
Advisors docs/strategy/advisors-and-mentors.md Advisor position vacant; Shwe Yee = whitepaper ideas
Documentation Index docs/README.md Master documentation index
AI Tools & Attribution docs/AI_TOOLS_AND_ATTRIBUTION.md AI toolchain documentation

AI-Assisted Development

This project uses AI tools to accelerate development. All work is human-directed and AI-assisted. See AI Tools & Attribution for details.

Tool Role Model
Cursor IDE Agent / Task / Auto Cursor Models pool (Composer, Grok, Auto)
OpenCode CLI / desktop coding assistant Free models only
P-Core Orchestra Multi-agent orchestration Runs on Cursor or OpenCode

Author: Peter Pau Sian Lian (@peterlianpi)

Contributing

See CONTRIBUTING.md for guidelines.

We especially need:

  • Zomi speakers — Validate translations and cultural knowledge
  • Linguists — Grammar analysis and documentation
  • ML Engineers — NLP pipelines and evaluation
  • Developers — Web, desktop, and mobile applications

License

MIT License — See LICENSE for details.


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