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%
qwen3-embedding (repurposed 8B LLM, ~13GB loaded) didn't fit on GPU 1 alongside the resident 17GB chat model, so Ollama silently ran it 44-56% on CPU. A single embed call took 39-54s, so any real document's chunk batches blew past esperanto's 60s embedding timeout and got stuck retrying forever - looked like "adding the source failed" but extraction was fine. Also note: credential num_ctx doesn't work for embeddings (esperanto sends it at the wrong JSON level, Ollama ignores it) - a small dedicated embedding model is the real fix, not context-window tuning. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> |
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| services | ||
| .env.example | ||
| .gitignore | ||
| CLAUDE.md | ||
| docker-compose.yml | ||