# Documentation Update Plan: Research-Driven Architecture

> **Status: Active** — This plan tracks documentation updates for the research-driven architecture direction. Tasks are ongoing as new features are documented.

## Overview

This plan outlines the documentation updates needed to communicate the new research-driven architecture direction for the MCP ADR Analysis Server.

## Priority: HIGH 🔴

The research-driven architecture is a **major paradigm shift** from traditional RAG approaches and needs comprehensive documentation.

---

## Phase 1: Core Documentation (Week 1)

### 1.1 Main README.md Updates

**File**: ../../README.md`

**Changes Needed**:

1. **Add Research-Driven Section** (after "Features")

   ```markdown
   ## Research-Driven Architecture

   Unlike traditional RAG systems, this MCP server answers questions by querying **live environment resources**:

   - 📁 **Project Files** (configs, code, ADRs)
   - 🧠 **Knowledge Graph** (ADR relationships)
   - 🔧 **Environment Resources** (Kubernetes, Docker, OS metrics)
   - 🌐 **Web Search** (fallback only)

   **Why Not RAG?** Your infrastructure changes constantly. Live queries ensure accuracy.

   [Learn more →](./notes/RESEARCH-DRIVEN-ARCHITECTURE.md)
   ```

2. **Update Tool List** (add `perform_research`)

   ```markdown
   ### New: Research Tools

   - `perform_research` - Answer questions using cascading sources
   - `generate_research_questions` - Generate context-aware research questions
   ```

3. **Add Red Hat Section**

   ```markdown
   ## Red Hat Support

   First-class support for Red Hat ecosystem:

   - ✅ OpenShift (`oc` CLI)
   - ✅ Podman (containers & pods)
   - ✅ Ansible (inventories, playbooks)

   Auto-detects available tools and provides live data.
   ```

4. **Update Quick Start** (add research example)

   ````markdown
   ## Quick Start

   ### Perform Research

   Ask questions about your project using live data:

   ```json
   {
     "tool": "perform_research",
     "args": {
       "question": "What container orchestration are we using?"
     }
   }
   ```
   ````

   The server cascades through project files → knowledge graph → environment → web search.

   ```

   ```

**Priority**: 🔴 **CRITICAL** - Users need to understand the new paradigm

**Estimated Time**: 2 hours

---

### 1.2 Architecture Documentation

**File**: `/./ARCHITECTURE.md` (NEW or update existing)

**Content Structure**:

```markdown
# Architecture Overview

## Research-Driven Design

### Cascading Source Hierarchy

[Diagram showing the cascade]

### Component Architecture

- ResearchOrchestrator
- EnvironmentCapabilityRegistry
- Knowledge Graph Integration

### Why Not RAG?

- Real-time data vs stale documents
- Lower maintenance overhead
- Perfect for infrastructure decisions
```

**Priority**: 🟡 **HIGH** - Important for technical understanding

**Estimated Time**: 3 hours

---

### 1.3 API Documentation Updates

**File**: `/./API.md` or `/./TOOLS.md`

**Changes Needed**:

1. Add `perform_research` tool documentation
2. Update `generate_research_questions` with new capabilities
3. Add environment capability examples

**Example Entry**:

````markdown
## perform_research

Answer research questions using cascading sources.

### Input Schema

```json
{
  "question": string,           // Required: Research question
  "projectPath": string,        // Optional: Project path
  "confidenceThreshold": number // Optional: 0-1, default 0.6
}
```
````

### Example

```json
{
  "tool": "perform_research",
  "args": {
    "question": "What deployment strategy do we use?",
    "confidenceThreshold": 0.7
  }
}
```

### Response

Returns:

- Sources consulted (project files, knowledge graph, environment)
- Confidence score
- Synthesized answer
- Web search recommendation (if needed)

````

**Priority**: 🟡 **HIGH**

**Estimated Time**: 2 hours

---

## Phase 2: Integration Guides (Week 2)

### 2.1 Red Hat Integration Guide

**File**: `/./RED-HAT-INTEGRATION.md` (NEW)

**Content**:
```markdown
# Red Hat Integration Guide

## Supported Tools

### OpenShift
- Installation requirements
- Configuration
- Example queries
- Common patterns

### Podman
- Podman vs Docker differences
- Pod management
- Example queries

### Ansible
- Inventory setup
- Playbook discovery
- Integration patterns

## Auto-Detection

How the system detects Red Hat tools...

## Configuration

Environment variables and settings...

## Examples

Real-world usage examples...

## Troubleshooting

Common issues and solutions...
````

**Priority**: 🟢 **MEDIUM** - Important for Red Hat users

**Estimated Time**: 4 hours

---

### 2.2 Environment Setup Guide

**File**: `/./ENVIRONMENT-SETUP.md` (NEW)

**Content**:

```markdown
# Environment Setup Guide

## Overview

The MCP server auto-detects environment capabilities.

## Supported Environments

### Kubernetes

- kubectl installation
- Context configuration
- Permissions needed

### Docker/Podman

- Installation
- Socket permissions
- Rootless configuration

### Operating System

- Supported platforms
- Required permissions

## Verification

How to verify capabilities are detected...

## Troubleshooting

Common detection issues...
```

**Priority**: 🟢 **MEDIUM**

**Estimated Time**: 3 hours

---

## Phase 3: Tutorial Content (Week 3)

### 3.1 Research Workflow Tutorial

**File**: `/./tutorials/RESEARCH-WORKFLOW.md` (NEW)

**Content**:

```markdown
# Research Workflow Tutorial

## Introduction

Learn how to use the research-driven architecture...

## Scenario 1: Discovering Container Setup

Step-by-step guide...

## Scenario 2: Investigating Deployment Strategy

Step-by-step guide...

## Scenario 3: OpenShift Route Analysis

Step-by-step guide...

## Advanced: Custom Research Patterns

How to structure complex research questions...
```

**Priority**: 🟢 **MEDIUM**

**Estimated Time**: 4 hours

---

### 3.2 Migration Guide (RAG to Research-Driven)

**File**: `/./MIGRATION-FROM-RAG.md` (NEW)

**Content**:

```markdown
# Migrating from RAG to Research-Driven

## Why Migrate?

Benefits of research-driven over RAG...

## Conceptual Differences

| RAG | Research-Driven |
| --- | --------------- |
| ... | ...             |

## Migration Steps

1. Remove vector database dependencies
2. Configure environment tools
3. Update queries
4. Test cascading sources

## Examples

Before (RAG): ...
After (Research): ...
```

**Priority**: 🔵 **LOW** - Nice to have

**Estimated Time**: 2 hours

---

## Phase 4: Video & Visual Content (Week 4)

### 4.1 Architecture Diagrams

**Files**: Various `.png` or `.svg` in `/./diagrams/`

**Needed Diagrams**:

1. Cascading source hierarchy (flow diagram)
2. Component architecture (system diagram)
3. Environment capability detection (sequence diagram)
4. Research flow with confidence scores (decision tree)

**Tools**: Mermaid, draw.io, or Excalidraw

**Priority**: 🟢 **MEDIUM**

**Estimated Time**: 6 hours

---

### 4.2 Demo Video/GIF

**File**: `demo.gif` or link to video

**Content**:

- Show research query execution
- Demonstrate environment detection
- Show confidence scoring
- Illustrate web search fallback

**Priority**: 🔵 **LOW** - Great for engagement

**Estimated Time**: 4 hours

---

## Phase 5: Blog Posts & Announcements (Ongoing)

### 5.1 Announcement Blog Post

**Platform**: GitHub Discussions, Medium, Dev.to

**Content**:

```markdown
# Introducing Research-Driven Architecture for MCP Servers

Why we moved away from RAG...

How it works...

Benefits for smaller LLMs...

Try it yourself...
```

**Priority**: 🟢 **MEDIUM**

**Estimated Time**: 3 hours

---

### 5.2 Technical Deep Dive

**Platform**: Blog or documentation site

**Content**:

- Implementation details
- Performance benchmarks
- Comparison with RAG
- Future roadmap

**Priority**: 🔵 **LOW**

**Estimated Time**: 5 hours

---

## Summary: Documentation Deliverables

### Critical (Phase 1)

- [ ] Update README.md with research-driven section
- [ ] Add Red Hat support section
- [ ] Update tool list
- [ ] Create ARCHITECTURE.md
- [ ] Update API documentation

### High Priority (Phase 2)

- [ ] Create RED-HAT-INTEGRATION.md
- [ ] Create ENVIRONMENT-SETUP.md
- [ ] Add troubleshooting guides

### Medium Priority (Phase 3)

- [ ] Create tutorial content
- [ ] Add architecture diagrams
- [ ] Create example projects

### Nice to Have (Phase 4+)

- [ ] Migration guide from RAG
- [ ] Demo videos/GIFs
- [ ] Blog posts
- [ ] Technical deep dives

---

## Estimated Total Time

- **Phase 1** (Critical): 7 hours
- **Phase 2** (High): 7 hours
- **Phase 3** (Medium): 6 hours
- **Phase 4** (Low): 10 hours
- **Phase 5** (Ongoing): 8 hours

**Total**: ~38 hours (1 week full-time)

---

## Success Metrics

### Documentation Quality

- [ ] All new tools documented
- [ ] Examples for each capability
- [ ] Troubleshooting sections complete
- [ ] Architecture clearly explained

### User Understanding

- [ ] Users understand RAG vs Research-Driven
- [ ] Red Hat users can set up easily
- [ ] Clear migration path provided
- [ ] Confidence scoring explained

### Community Engagement

- [ ] GitHub stars increase
- [ ] Issues/questions about features decrease
- [ ] Positive feedback on new direction
- [ ] External blog posts/mentions

---

## Maintenance Plan

### Regular Updates (Monthly)

- [ ] Update capability list as new tools are added
- [ ] Add community-contributed examples
- [ ] Refresh troubleshooting with new issues
- [ ] Update performance benchmarks

### Version Updates (Per Release)

- [ ] Update API schemas
- [ ] Add new tool documentation
- [ ] Update compatibility matrix
- [ ] Refresh examples

---

## Review & Approval Process

1. **Draft** → Technical review by maintainers
2. **Review** → User testing & feedback
3. **Revise** → Incorporate feedback
4. **Publish** → Deploy to documentation site
5. **Announce** → Share in community channels

---

## Questions to Address in Documentation

Users will likely ask:

1. **"Why not use RAG?"** → Answer in README and ARCHITECTURE.md
2. **"How do I install Red Hat tools?"** → RED-HAT-INTEGRATION.md
3. **"What if tools aren't detected?"** → ENVIRONMENT-SETUP.md + troubleshooting
4. **"Can I use this without environment tools?"** → Yes, project files + knowledge graph
5. **"How accurate is this vs RAG?"** → Benchmarks in blog post
6. **"What happens when confidence is low?"** → API docs + examples
7. **"Does this work with small LLMs?"** → Benefits section in README

---

## Next Steps (Immediate)

1. ✅ Create this plan document
2. 🔴 **Update README.md** (highest priority)
3. 🔴 **Create ARCHITECTURE.md**
4. 🟡 **Update API documentation**
5. 🟡 **Create RED-HAT-INTEGRATION.md**

**Owner**: Documentation team / maintainers
**Timeline**: Start immediately, complete Phase 1 in 1 week
