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ValueOn AG f9b91501d8 Reduce context size for vision models to fit in RAM 
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-02-06 14:45:52 +01:00
.github/workflows ssl 2026-02-06 14:16:12 +01:00
deploy ssl 2026-02-06 14:16:12 +01:00
docu integrated privateLLM 2026-02-06 10:27:06 +01:00
static initial 2026-02-06 00:30:52 +01:00
templates Fix mixed content: route all requests through backend API 2026-02-06 14:35:38 +01:00
.gitignore Initial commit 2026-02-06 00:24:28 +01:00
app.py Reduce context size for vision models to fit in RAM 2026-02-06 14:45:52 +01:00
config.ini integrated privateLLM 2026-02-06 10:27:06 +01:00
README.md Initial setup: Flask app with CI/CD 2026-02-06 02:00:35 +01:00
requirements.txt fixes req 2026-02-06 10:35:01 +01:00
start-python.bat integrated privateLLM 2026-02-06 10:27:06 +01:00
start-python.ps1 integrated privateLLM 2026-02-06 10:27:06 +01:00

README.md

Private LLM - Belegscanner

KI-Dokumentenanalyse mit lokalen Ollama Vision-Modellen.

Features

  • Rechnungen, Belege, Bankauszüge analysieren
  • Handschrift erkennen
  • PDF-Support
  • 100% lokal - keine Cloud-APIs

Tech Stack

  • Backend: Python Flask
  • AI: Ollama Vision Models
  • Server: Infomaniak Swiss Cloud (GPU)

Deployment

Automatisches Deployment via GitHub Actions bei Push zu main.