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---
title: Karl Movie Vector Backend
emoji: 🎬
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit
---
# Karl Movie Vector Backend
FastAPI backend for semantic movie recommendations using FAISS and OpenAI embeddings. Powers intelligent movie discovery with geometric subspace algorithms.
## Features
- Semantic movie search using OpenAI embeddings
- FAISS-powered vector similarity search
- Geometric subspace algorithms for multi-movie preferences
- ~150ms response time on CPU
- RESTful API with Bearer token authentication
## API Usage
```bash
curl -X POST "https://yonnel-karl-movie-vector-backend.hf.space/explore" \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"liked_ids": [550, 680],
"disliked_ids": [],
"top_k": 100
}'
```
## Environment Variables
Set these in your Space settings:
- `OPENAI_API_KEY`: Your OpenAI API key
- `TMDB_API_KEY`: Your TMDB API key
- `API_TOKEN`: Authentication token for API access
- `ENV`: Set to "prod" for production
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