---
task_number: 93
title: Trinity Codex (Dify/Qdrant RAG)
priority: 1
status: PLANNED
is_blocker: false
tags: [ai, rag, knowledge-base, dify, qdrant]
estimated_hours: 16
---

# Task #93: Trinity Codex (Dify/Qdrant RAG System)

**Status:** PLANNED (Architecture complete)  
**Priority:** P1 - HIGH (Force Multiplier)  
**Category:** AI Infrastructure

## Overview

Self-hosted RAG (Retrieval Augmented Generation) system using Dify + Qdrant for intelligent knowledge base search across the firefrost-operations-manual repository.

**Goal:** Claude-like AI trained on Firefrost docs, accessible to Trinity members

## Architecture Complete

✅ Dify on TX1 (workflow engine)  
✅ Qdrant on TX1 (vector database)  
✅ Operations manual as knowledge source  
✅ RAG pipeline designed  
✅ Gemini consultation complete

## Tech Stack

- **Dify:** Workflow and prompt orchestration
- **Qdrant:** Vector similarity search
- **LLM:** Gemini API or self-hosted Gemma 4
- **Source:** firefrost-operations-manual (1,038 files)

## Next Steps

1. Deploy Dify on TX1 (Docker)
2. Deploy Qdrant on TX1 (Docker)
3. Ingest operations manual
4. Configure RAG pipeline
5. Test with sample queries
6. Create web interface for Trinity

## Full Spec Location

📁 `/docs/tasks/task-093-trinity-codex/`

## Benefits

- Instant knowledge retrieval from 1,000+ docs
- No context window limits
- Works offline (self-hosted)
- Trinity-specific AI assistant