FAISS/vector search #68
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I worked on PR #68, which implements a FAISS vector search client and backend service. On the TypeScript side, I added helper functions for vector upsert, search, delete, and health checks. On the Python side, I built a FastAPI wrapper around FAISS to handle normalization, upsert, delete (via index rebuild), and search endpoints. This work lays the foundation for image similarity search in our project and demonstrates both technical exploration and delivery toward our sprint goals.