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ailixir-api / DOCUMENTATION_STRUCTURE.md

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AILIXIR Documentation Structure (Recommended)

Status: Documentation refactoring complete | Last Updated: May 2026

📋 Overview

The AILIXIR project has been refactored to follow modern open-source documentation standards:

Concise main README (~800 lines, down from 2500+) focused on high-level overview
Dedicated documentation files for specific topics
Service-specific READMEs in each microservice directory
Clear navigation with links between related documents

📁 Recommended Documentation File Structure

Root Documentation Files

ailixir-backend/
├── README.md                    ✅ REFACTORED (concise, high-level)
├── QUICK_START.md              📝 REFERENCED (needs creation/verification)
├── ARCHITECTURE.md             ✅ EXISTS (link from README)
├── DOCKER.md                   ✅ EXISTS (link from README)
├── PRODUCTION_GUIDE.md         📝 REFERENCED (needs creation/verification)
├── TROUBLESHOOTING.md          📝 REFERENCED (needs creation)
├── API_REFERENCE.md            📝 REFERENCED (needs creation)
├── CONTRIBUTING.md             ✅ REFERENCED (guidelines included in README)
├── DOCKER_FIXES.md             ✅ EXISTS (known issues)
└── LICENSE                     ✅ EXISTS

Service Documentation Files

ai_apps/
├── ADMIT/
│   ├── README.md               ✅ UPDATED (training + inference)
│   └── train_ADMET_model.ipynb ✅ EXISTS
│
├── Drug Reporposing/
│   ├── README.md               ✅ GOOD (keep as-is)
│   ├── QUICK_START.md          ✅ EXISTS
│   ├── PRODUCTION_GUIDE.md     ✅ EXISTS
│   └── IMPLEMENTATION_SUMMARY.md ✅ EXISTS
│
└── chemical-rag-system/
    └── README.md               ✅ UPDATED (v2.1)

📄 Documentation Files Detail

1. README.md ✅ (Completed)

Purpose: Landing page, high-level overview

Current Status: ✅ Refactored and polished

Length: ~800 lines (reduced from 2500+)

Content:

System overview and positioning
Feature table
Architecture diagram (ASCII, fixed alignment)
Quick start (minimal, links to detailed guides)
Services overview table
API summary with examples
Environment variables reference
Project structure tree
Links to all detailed documentation

Strengths:

Professional and concise
Clear navigation to other docs
Suitable for GitHub landing page
Impresses recruiters and contributors

2. QUICK_START.md 📝 (Reference, needs verification)

Purpose: 5-minute setup for developers

Recommended Content:

System requirements (minimal)
Docker setup (3 commands)
Local setup (per service, brief)
Health check verification
"Next Steps" links to detailed docs

File Structure:

# Quick Start

## Prerequisites
- Docker & Docker Compose v2+
- OR: PHP 8.2+, Python 3.10+, MariaDB

## Docker (5 minutes)
# 3-4 commands

## Local Development
# Brief per-service setup

## Verify Installation
# Health checks

## Next Steps
# Links to detailed guides

Cross-references: README.md → QUICK_START.md → DOCKER.md

3. ARCHITECTURE.md ✅ (Exists, referenced)

Purpose: System design, diagrams, component details

Current Status: ✅ Already comprehensive (use as-is)

Content:

System-level architecture diagram (Mermaid)
Component responsibilities table
Data flow explanation
Request lifecycle walkthrough
Per-service component details
Environment variables location guide
Deployment notes and scaling

Cross-references: README.md ← ARCHITECTURE.md

4. DOCKER.md ✅ (Exists, referenced)

Purpose: Docker-specific setup and configuration

Current Status: ✅ Comprehensive (use as-is)

Content:

Docker requirements
Quick start with docker-compose
Service URLs and ports table
Laravel AI integration endpoints
Docker image details
CI/CD workflow
Environment configuration

Cross-references: README.md → DOCKER.md

5. PRODUCTION_GUIDE.md 📝 (Reference, needs verification)

Purpose: Deployment architecture, scaling, monitoring, security

Recommended Content:

# Production Guide

## Pre-Deployment Checklist
- Configuration review
- Security setup
- Backup strategy
- Monitoring setup

## Deployment Architecture
- Architecture diagram (Kubernetes vs Docker Swarm)
- Service replication strategies
- Load balancing setup
- Database replication

## Scaling Strategies
- Horizontal scaling for stateless services
- Database scaling and replication
- Queue worker scaling
- Memory and resource limits

## Monitoring & Observability
- Health check endpoints
- Log aggregation setup
- Metrics collection (Prometheus)
- Alert configuration

## Security Hardening
- Environment variable management
- HTTPS/TLS setup
- API authentication
- Database security

## Performance Tuning
- Connection pooling
- Cache configuration
- Query optimization
- Rate limiting

Cross-references: README.md → PRODUCTION_GUIDE.md

6. TROUBLESHOOTING.md 📝 (Reference, needs creation)

Purpose: Common issues and solutions

Recommended Content:

# Troubleshooting

## Quick Reference Table
| Problem | Cause | Solution |
| ... |

## Container Issues
- Service won't start
- Port already in use
- Out of memory

## Database Issues
- Connection failures
- Migration errors
- Data persistence

## AI Service Issues
- Model loading errors
- GPU out of memory
- Timeout issues
- FAISS index slow

## Development Issues
- Python environment setup
- Dependency conflicts
- CUDA not found
- Permission errors

## Debugging
- How to check logs
- Health check procedures
- Debug mode configuration

## FAQ
- Common questions
- Best practices
- Performance optimization

Cross-references: README.md → TROUBLESHOOTING.md

7. API_REFERENCE.md 📝 (Reference, needs creation)

Purpose: Complete API endpoint documentation

Recommended Content:

# API Reference

## Overview
- Base URLs
- Authentication
- Error handling
- Rate limiting

## Laravel Orchestration API
- Health endpoints
- AI service proxy endpoints
- Job management endpoints
- Result retrieval endpoints

## ADMET Service API
- Health endpoint
- Info endpoint
- Predict endpoints (single & batch)
- Model status endpoint

## Drug Repurposing Service API
- Disease targets endpoint
- Drug library endpoint
- Screening endpoint
- Model status endpoint

## Chemical RAG Service API
- Retrieval-only endpoint
- Full RAG endpoint
- Health endpoint
- Stats endpoint

## Response Formats
- Success responses
- Error responses
- Status codes

## Examples
- Real curl requests for each endpoint
- Request/response pairs
- Error scenarios

Cross-references: README.md → API_REFERENCE.md, Service READMEs

8. CONTRIBUTING.md ✅ (Referenced in README)

Purpose: Development guidelines

Current Status: ✅ Guidelines included in README.md

Recommended Dedicated File:

# Contributing

## Getting Started
- Fork and clone
- Setup development environment
- Create feature branch

## Code Style
- PHP: PSR-12
- Python: PEP 8
- Commits: Conventional format

## Development Workflow
- Local development
- Testing requirements
- Documentation updates
- Pull request process

## Testing
- Unit tests
- Integration tests
- Running test suites

## Commit Messages
- Format guidelines
- Examples

## Pull Request Process
- Description template
- Code review expectations
- Merge requirements

🎯 Implementation Checklist

Completed ✅

README.md refactored (concise, professional, links to docs)
ARCHITECTURE.md (exists, comprehensive)
DOCKER.md (exists, comprehensive)
ADMET/README.md (updated with full training + inference)
Chemical-RAG/README.md (updated with v2.1 focus)
Drug Reporposing/README.md (already excellent, kept as-is)

Recommended Verification/Creation 📝

QUICK_START.md - Verify or create based on template
PRODUCTION_GUIDE.md - Create based on template
TROUBLESHOOTING.md - Create based on template
API_REFERENCE.md - Create based on template
CONTRIBUTING.md - Extract to standalone file (optional)

📊 Documentation Standards Applied

Format & Structure

✅ Consistent markdown formatting across all files ✅ Clear section hierarchy (H1-H4) ✅ Emoji headers for visual organization ✅ Markdown best practices (lists, tables, code blocks)

Navigation

✅ Table of contents in root README ✅ Cross-references between related docs ✅ Clear "Next Steps" links at end of each section ✅ Service-specific READMEs with complete info

Content Quality

✅ Professional tone (enterprise-grade) ✅ Concise main README with detailed docs ✅ Real examples (ports, commands, endpoints) ✅ Troubleshooting guides with solutions

GitHub Readability

✅ Clean whitespace between sections ✅ Compact tables ✅ Reduced code block sizes ✅ Links instead of repetition

🎓 Best Practices References

This documentation structure follows conventions from:

Apache Software Foundation - Modular documentation
Kubernetes - Clear architecture docs with links
Popular open-source projects - Concise main README with satellite docs
Enterprise software standards - Professional, scalable approach

📋 File Status Summary

File	Status	Purpose
README.md	✅ Complete	High-level overview + navigation
ARCHITECTURE.md	✅ Exists	System design details
DOCKER.md	✅ Exists	Container setup
PRODUCTION_GUIDE.md	📝 Recommended	Deployment & scaling
TROUBLESHOOTING.md	📝 Recommended	Problem solving
API_REFERENCE.md	📝 Recommended	Endpoint documentation
CONTRIBUTING.md	✅ Included in README	Contributing guidelines
Service READMEs	✅ All updated	Component-specific docs

🚀 Next Steps

Verify QUICK_START.md exists and is up-to-date
Create or verify PRODUCTION_GUIDE.md using template
Create TROUBLESHOOTING.md from existing content
Create API_REFERENCE.md for clarity
(Optional) Extract CONTRIBUTING.md as standalone file
Update navigation links once all files are created
Test all links render correctly on GitHub

📞 Questions?

Reference this document when:

Creating new documentation files
Updating existing docs
Organizing repository documentation
Onboarding new contributors

Maintain consistency: Keep all docs at the same quality level and style for professional appearance.

Last Updated: May 2026 | Status: Documentation structure defined ✅