title: Document Intelligence Demo
emoji: 📄
colorFrom: gray
colorTo: blue
sdk: docker
app_port: 7860
pinned: false
license: mit
short_description: Hybrid BM25 + MiniLM retrieval with cited passages. No LLM.
Document Intelligence demo API
This Space runs the API behind the public demo of
document-intelligence-ai.
It is deployed automatically from that repository's main branch; do not
edit files here.
What it does
- Hybrid retrieval over a small fictional corpus: BM25 fused with
sentence-transformers/all-MiniLM-L6-v2embeddings (ONNX Runtime via fastembed) using reciprocal rank fusion. A heuristic term-overlap reranker is available on request. - Every hit reports its BM25 rank, dense rank, fused rank and score separately, so a client can show how the two retrievers disagree.
- Retrieval only.
GENERATION_PROVIDER=none: no language model is called and no provider SDK is installed in the image.
Configuration
Runtime settings come from demo.env (committed, no secrets). The only
secret is API_KEY, set in the Space settings; every /api/v1 route
requires it in the X-API-Key header. /health is open and reports the
effective modes and document count.
Limits: uploads of .txt, .md, .rst, .pdf up to 4 MB; at most 24
documents in the corpus with oldest-first eviction of uploads (the four
seeded samples are never evicted); per-client and global rate limits;
storage is ephemeral and resets whenever the Space restarts.
Endpoints used by the demo frontend
GET /health, POST /api/v1/search, POST /api/v1/documents/upload,
GET /api/v1/documents, GET /api/v1/documents/{id}/chunks.
Full OpenAPI schema at /docs.