Selbst gehostetes [Open Notebook](https://github.com/lfnovo/open-notebook) :
- local Deployment per Docker Compose .
- KI-gestützter Notiz-/Recherche-Assistent mit Chat, Quellenverwaltung und Podcast-Erstellung.
- Python 44.9%
- Shell 37.9%
- Jinja 17.2%
esperanto's OllamaLanguageModel silently caps num_ctx at 8192 unless the credential sets it explicitly, no matter what OLLAMA_CONTEXT_LENGTH or the model's real context window is. Any chat context beyond that got truncated, and because qwen3.5:27b is a thinking model, the truncated prompt usually produced an empty final answer (swallowed by clean_thinking_content) rather than a visible error - looked like "chat gives no answer" in the UI. Set num_ctx=98304 on the Ollama chat credential: the largest value that still keeps the whole model on GPU 1 (131072 spills onto CPU, 5-6x slower). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> |
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| .env.example | ||
| .gitignore | ||
| CLAUDE.md | ||
| docker-compose.yml | ||