mindnet/README.md

# mindnet API (bundle)

This bundle provides a minimal FastAPI app for embeddings and Qdrant upserts/queries plus a Markdown importer.

## Quick start

```bash
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

# Environment (adjust as needed)
export QDRANT_URL=http://127.0.0.1:6333
export MINDNET_PREFIX=mindnet
export MINDNET_MODEL=sentence-transformers/all-MiniLM-L6-v2

# Run API
uvicorn app.main:app --host 0.0.0.0 --port 8001 --workers 1

# (optional) Ensure collections exist (or use setup_mindnet_collections.py you already have)
# python3 scripts/setup_mindnet_collections.py --qdrant-url $QDRANT_URL --prefix $MINDNET_PREFIX --dim 384 --distance Cosine

# Import some notes
python3 scripts/import_markdown.py --vault /path/to/Obsidian
```

## Endpoints

- `POST /embed` → `{ "texts": [...] }` → 384-d vectors
- `POST /qdrant/upsert_note`
- `POST /qdrant/upsert_chunk`
- `POST /qdrant/upsert_edge`
- `POST /qdrant/query` → semantic search over chunks with optional filters

See `scripts/quick_test.sh` for a runnable example.

>Anmerkung:
Diese Datei ist veraltet