mindnet/vault/mindent-November-sprint.md
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---
title: Mindnet – November-Sprint (App & Vault)
id: mindnet-nov-sprint-2025
type: project
status: active
created: 2025-10-31
updated: 2025-10-31
area: personal_development
project: leitbild_refresh_2025
tags: [mindnet, sprint, ai, qdrant, rag, vault]
lang: de
source: coach/leitbild
depends_on:
- ai-exp-mindnet-os-v1-1
- leitbild-ziele-portfolio
references:
- "/mnt/data/Lars- Mein Leitbild.pdf"
version: 1.0.0
---
# Ziel (Nov, KW45–48)
Mindnet **OS v1.1** stabil: App-Schicht + saubere Vault-Collections inkl. `source`-Metadaten; **RAG Ende-zu-Ende** mit Zitation; **2 Assets** (Prompt-Kit, Import-Script).
## Definition of Done (DoD)
- Collections: `notes`, `karate`, `costopti`, `training` **existieren** und sind **getrennt indexiert**.
- Importer schreibt **`source` + `collection`** nach Qdrant; **Delete-by-source** möglich.
- Retriever (Top-k/MMR) liefert **Antwort + sources[]**; **Latency < 5 s** lokal.
- **Prompt-Kit v1** & **Importer v1** liegen versioniert im Repo; kurze README vorhanden.
## Arbeitsstränge
### A) App/Backend
- [ ] Endpunkte: `/search`, `/answer`, `/upsert`, `/delete?source=...`.
- [ ] Logging: Use-Log (Frage, Laufzeit, Treffer, Quellen).
- [ ] Tests: 6 Queries/Collection; Halluzinations-Check (No-Answer>Hallu).
### B) Vault/ETL
- [ ] Ordnerstruktur & YAML-Konvention (IDs deterministisch).
- [ ] `import_txtdocuments.py`: Felder `source`, `collection`, **Batching**, Archivierung `_imported`.
- [ ] Backfill: alte Leitbild-/Sessions-Notes in `notes`.
## Cadence (leichtgewichtig)
- **täglich 60–90′ Deep-Work** (vormittags) → A) App
- **täglich 20–30′ Wartung** (nachmittags) → B) Vault
- **Freitag 30′ Retro**: DoD-Fortschritt, Blocker, nächster Fokus
## Messung
- Zeitersparnis Ø **≥50 %** ggü. manuell (6 Fälle) · Reviewer-Score **≥8/10** · Zitate in **≥90 %** vollständig.
## Use-Log (CSV)
date,collection,question,time_sec,quality_1_10,error_rate_pct,sources_count,notes