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TenzinGayche edited this page Dec 9, 2025
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Welcome to the Buddhist Consensus project wiki! This is a bilingual (Tibetan–English) AI platform that answers Buddhist questions with cited sources from canonical and academic texts.
Buddhist Consensus is an intelligent question-answering system that leverages:
- Retrieval-Augmented Generation (RAG) for accurate, source-backed responses
- Hybrid Search combining semantic and keyword-based retrieval
- Bilingual Support for Tibetan (བོད་སྐད་) and English queries
- Citation System that links every claim to canonical sources
- Architecture - System architecture and component overview
- Concepts-and-Terminology - Definitions of key concepts used in this project
- RAG-System - Deep dive into the Retrieval-Augmented Generation system
- API-Reference - Complete API documentation
- Data-Preparation - How to prepare and process Buddhist texts
- Frontend - Chat UI implementation details
- Installation - Setup and deployment guide
- Usage-Guide - How to use the system
| Component | Technology |
|---|---|
| Backend Framework | FastAPI |
| LLM | Google Gemini 2.0 Flash |
| Embeddings | Gemini Embedding 001 |
| Vector Database | Milvus |
| Orchestration | LangGraph |
| Frontend | Vanilla HTML/CSS/JavaScript |
The system uses texts from:
- Kangyur (བཀའ་འགྱུར) - The Tibetan Buddhist Canon containing Buddha's teachings
- Tengyur (བསྟན་འགྱུར) - Commentaries and treatises by Indian and Tibetan masters
- Additional curated Buddhist academic texts
This project is developed by OpenPecha to make Buddhist wisdom accessible through AI technology.
Buddhist Consensus | Developed by OpenPecha | Report an Issue