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Add vector visualization tab, /vectors + /embed endpoints, HF Spaces config

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metadata

title: DistanceMetrics
emoji: 🔍
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false

DistanceMetrics

Semantic search over structured data with live vector-space visualization.

Upload a CSV/XLSX/JSON file, embed it via OpenAI text-embedding-3-small, store in Qdrant, then search and watch your query move through the embedding space in real time.

Stack

Backend — FastAPI + OpenAI Embeddings + Qdrant
Frontend — Streamlit with interactive Plotly PCA scatter

Required secrets

Set these in the Space Settings → Variables and secrets:

Secret	Description
`OPENAI_API_KEY`	OpenAI API key
`QDRANT_URL`	Qdrant cluster URL
`QDRANT_API_KEY`	Qdrant API key
`QDRANT_COLLECTION`	Collection name (default: `documents`)