README.md

metadata

title: Hub Search v3 Dev
emoji: 🔎
colorFrom: indigo
colorTo: blue
sdk: docker
app_port: 7860
pinned: false
private: true
short_description: DuckDB vector search backend (dev)

hub-search-v3 (dev backend)

Replacement backend for the Hub semantic-search Space. FastAPI + in-memory DuckDB brute-force cosine search over Qwen3-Embedding-0.6B vectors. Drop-in compatible with the old davanstrien/huggingface-datasets-search-v2 API.

• Boot: loads davanstrien/search-v2-embeddings (both configs) into in-memory DuckDB FLOAT[dim] tables; loads the query model on CPU.
• Query encoding replicates the old backend so query vectors align with the seed docs.
• Endpoints: /search/{datasets,models}, /similarity/{datasets,models}, /trending/{datasets,models}, /suggest/{type}, /health.

Config via env: EMB_DIM (default 256, MRL truncation), DUCKDB_THREADS, EMBEDDINGS_REPO. Needs HF_TOKEN secret for the private seed dataset.

Private dev Space — see the revival plan note for context.