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# GraphRAG für Nexa - Strukturelles Wissen & Beziehungen
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## 🧠 Zwei-Säulen-Memory-Architektur
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Nexa nutzt zwei komplementäre Speicher für vollständiges Verständnis:
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### Säule 1: Qdrant (Vector DB) - Semantische Ähnlichkeit
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- **Frage**: "Was ist ähnlich, was ist relevant?"
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- **Speichert**: Embeddings von Memos, Obsidian-Notes, E-Mail-Digests
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- **Suche**: Cosine Similarity über 1536-dimensionale Vektoren
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- **Antwort**: Top-k semantisch ähnliche Dokumente (RAG)
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**Beispiel:**
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```
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Frage: "Wie war die JWT-Implementation in unserem letzten Projekt?"
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→ Qdrant findet: 10 ähnliche Snippets → Prompt-Context
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```
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### Säule 2: Neo4j (Graph DB) - Strukturelle Beziehungen
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- **Frage**: "Wer ist beteiligt? Was hängt davon ab? Wie ist es organisiert?"
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- **Speichert**:
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- **Knoten (Nodes)**: Projects, Tasks, People, Technologies, Dates
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- **Kanten (Relationships)**: `USES`, `OWNS`, `DEPENDS_ON`, `MENTIONS`, `CREATED_BY`
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- **Suche**: Cypher-Queries über Netzwerk-Topologie
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- **Antwort**: Pfade, zentrale Knoten, Abhängigkeitsanalyse
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**Beispiel:**
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```cypher
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MATCH (tech:Technology)-[USES*]->*(service:Service),
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(tech)-[:MENTIONED_IN]->(task:Task)
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WHERE tech.name = "JWT" AND task.status = "DONE"
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RETURN tech, service, task
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```
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---
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## 📊 Neo4j Schema für Nexa
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### Node-Typen
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```cypher
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(Project {name, startDate, status, priority})
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(Task {title, description, status, urgency: 1-5, context: "work"|"personal"})
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(Person {name, role, email})
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(Technology {name, category: "framework"|"language"|"tool"})
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(Topic {name, domain})
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(File {path, type, lastModified})
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(Note {id, content_hash, created_at})
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```
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### Relationship-Typen
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| Beziehung | Von | Zu | Beschreibung |
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|-----------|-----|-----------|-------------|
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| `OWNS` | Person | Task/Project | Wer ist verantwortlich |
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| `USES` | Task/Project | Technology | Welche Tech wird verwendet |
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| `DEPENDS_ON` | Task/Project | Task/Project | Hängt davon ab |
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| `CREATED_BY` | Note | Person | Autor einer Notiz |
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| `MENTIONS` | Note/Task | Topic/Technology | Verweist auf |
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| `RELATED_TO` | Task | Task | Zusammenhängend |
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| `CHILD_OF` | Task | Project | Task gehört zu Project |
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| `SCHEDULED_FOR` | Task | Date | Zeitliche Zuordnung |
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---
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## 🔄 Synchronisierungs-Flows
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### 1. **Memos → Neo4j** (automatisch beim Erstellen)
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Wenn ein Memo mit `- [ ]` erstellt wird:
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```
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Memo-Content: "Muss JWT-Middleware für Auth-Service refaktorieren"
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↓
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SAIA extrahiert Entitäten:
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- Technologie: "JWT-Middleware", "Auth-Service"
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- Kontext: "work"
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- Urgenz: 3
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↓
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Erstelle in Neo4j:
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- Task node (title="JWT-Middleware refaktorieren")
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- Technology nodes: JWT, Auth-Service
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- Relationships: Task -[USES]-> JWT, Task -[USES]-> Auth-Service
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- Task -[CREATED_BY]-> Me (Person node)
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```
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### 2. **Obsidian → Neo4j** (#nexa:sync-obsidian)
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Beim Sync von Obsidian-Vault:
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```
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File: obsidian/projects/nexa-deployment.md
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↓
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Header Struktur wird zu Graph:
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- Project "Nexa Deployment"
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- Technologies: Docker, n8n, Nextcloud
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- Dependencies: "requires infrastructure setup"
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↓
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Erstelle:
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- Project nodes mit Metadata
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- Hierarchie: Project -[CONTAINS]-> Task -[USES]-> Technology
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```
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### 3. **Nextcloud Tasks → Neo4j** (bidirektional)
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Wenn Task in Nextcloud erstellt/gelöcht:
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```
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Nextcloud Task: "Review JWT implementation" (in Work-List)
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↓
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n8n Trigger erkennt Änderung
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↓
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Update Neo4j:
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- Task node status = "active"
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- Task -[DEPENDS_ON]-> related Task (falls Beziehung existiert)
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```
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---
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## 🤖 GraphRAG Queries - Praktische Anwendungen
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### Query 1: "Zeige alle offenen Tasks, die JWT betreffen"
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```cypher
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MATCH (tech:Technology {name:"JWT"}),
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(tech)-[:MENTIONED_IN|USES]-(task:Task),
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(task)-[:CHILD_OF]->(project:Project)
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WHERE task.status IN ["NEEDS-ACTION", "IN-PROGRESS"]
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RETURN project.name, task.title, task.urgency
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ORDER BY task.urgency DESC
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```
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### Query 2: "Von welchen Tasks/Projects hängt Auth-Service ab?"
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```cypher
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MATCH path = (dependent)-[:DEPENDS_ON*]->(service:Technology {name:"Auth-Service"})
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RETURN [x IN nodes(path) | x.name], length(path)
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ORDER BY length(path) ASC
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```
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### Query 3: "Wer arbeitet an diesem Projekt und auf welchen Technologien?"
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```cypher
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MATCH (person:Person)-[:OWNS]->(task:Task)-[:CHILD_OF]->(project:Project {name:"Nexa"}),
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(task)-[:USES]->(tech:Technology)
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RETURN person.name, collect(task.title), collect(tech.name)
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```
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### Query 4: "Was ist seit gestern neu an Technologien/Themen gelernt?"
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```cypher
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MATCH (note:Note)-[:MENTIONS]->(topic:Topic)
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WHERE note.created_at > datetime.now() - duration('P1D')
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RETURN DISTINCT topic.name, count(note) as mentions
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ORDER BY mentions DESC
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```
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---
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## 🔗 GraphRAG-Enhanced Answer Generation
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Wenn Nutzer `#nexa:ask` fragt:
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```
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#nexa:ask Wie stehen die JWT-Tasks zur Deadline?
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↓
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┌─────────────┴──────────────┐
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↓ ↓
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[Qdrant] [Neo4j]
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Semantic Structural
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Search Search
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↓ ↓
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Top-3 Notes (JWT)-[DEPENDS_ON]
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mit ähnlichem → Connected Tasks
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Kontext → Critical Path
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↓ ↓
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Combine: Merge + Rank
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↓
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System Prompt (SAIA):
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"Basierend auf diesem Wissen und diesen Abhängigkeiten, beantworte:"
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↓
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Response mit:
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- Semantisch relevanter Information (Qdrant)
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- Strukturellem Kontext (Neo4j)
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- Abhängigkeitsanalyse
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```
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---
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## 🛠️ n8n Integration (Phase 3)
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### Workflow: Graph-Sync Trigger
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```
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[Memos Webhook]
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↓
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[Parse Content]
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↓
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[SAIA: Extract Entities]
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├→ Tasks, Projects, Technologies, People
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└→ Relationships (uses, depends_on, mentions)
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↓
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[Neo4j: Create/Update Nodes & Relationships]
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↓
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[Index in Qdrant Metadata: Add graph_node_id]
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```
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### Workflow: Question Router
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```
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[#nexa:ask Query]
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↓
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[Parallel Search]
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├→ [Qdrant: Vector Similarity]
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├→ [Neo4j: Graph Query (auto-generated Cypher)]
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└→ [Rank & Merge Results]
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↓
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[SAIA: Generate Answer with Context]
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```
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---
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## 📋 Commands für Graph-Management
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### #nexa:graph-status
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Zeigt Statistiken der Graph-DB
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```
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#nexa:graph-status
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```
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Response:
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```
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📊 Neo4j Graph Status:
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- Nodes: 342 (Tasks: 145, Projects: 12, Technologies: 52, Notes: 133)
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- Relationships: 1,247
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- Density: 0.34
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- Most Connected: "JWT-Middleware" (27 connections)
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```
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### #nexa:graph-trace [entity]
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Zeigt alle Verbindungen für eine Entität
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```
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#nexa:graph-trace JWT-Middleware
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```
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### #nexa:graph-rebuild
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Rekonstruiert Graph aus Obsidian + Memos (einmalig, danach inkrementell)
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```
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#nexa:graph-rebuild --force
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```
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---
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## 🚀 Phase 3 Roadmap (Graph Integration)
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- [ ] **3.1 Neo4j Setup**: Collection, Constraints, Indexes
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- [ ] **3.2 Graph-Sync Workflow**: Automatische Entity Extraction
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- [ ] **3.3 GraphRAG Pipeline**: Kombinierte Qdrant + Neo4j Queries
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- [ ] **3.4 Dependency Tracker**: Warnt vor zirkulären Dependencies
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- [ ] **3.5 Critical Path Analysis**: Berechnet längsten Weg im Graph
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---
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## 💡 Warum zwei DBs?
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| Szenario | Qdrant | Neo4j | Kombi |
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|----------|--------|-------|-------|
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| "Welche Note war ähnlich?" | ✅ Best | ❌ | Qdrant |
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| "Welche Tasks blockieren diesen Task?" | ❌ | ✅ Best | Neo4j |
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| "Erkläre mir dieses Projekt umfassend" | ✅ Context | ✅ Structure | **Beide!** |
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| "Finde alle JWT-bezogenen offenen Work" | ✅ Semantic | ✅ Crisp | **Beide!** |
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Kombiniert: **Vollständiges Verständnis** statt nur Suchindex oder nur Struktur.
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