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40 lines
1.1 KiB
Markdown
40 lines
1.1 KiB
Markdown
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# mindnet API (bundle)
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This bundle provides a minimal FastAPI app for embeddings and Qdrant upserts/queries plus a Markdown importer.
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## Quick start
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```bash
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python3 -m venv .venv && source .venv/bin/activate
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pip install -r requirements.txt
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# Environment (adjust as needed)
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export QDRANT_URL=http://127.0.0.1:6333
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export MINDNET_PREFIX=mindnet
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export MINDNET_MODEL=sentence-transformers/all-MiniLM-L6-v2
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# Run API
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uvicorn app.main:app --host 0.0.0.0 --port 8001 --workers 1
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# (optional) Ensure collections exist (or use setup_mindnet_collections.py you already have)
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# python3 scripts/setup_mindnet_collections.py --qdrant-url $QDRANT_URL --prefix $MINDNET_PREFIX --dim 384 --distance Cosine
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# Import some notes
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python3 scripts/import_markdown.py --vault /path/to/Obsidian
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```
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## Endpoints
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- `POST /embed` → `{ "texts": [...] }` → 384-d vectors
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- `POST /qdrant/upsert_note`
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- `POST /qdrant/upsert_chunk`
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- `POST /qdrant/upsert_edge`
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- `POST /qdrant/query` → semantic search over chunks with optional filters
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See `scripts/quick_test.sh` for a runnable example.
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>Anmerkung:
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Diese Datei ist veraltet
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