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Vector Vault DB
A vector database written from scratch in C++17
StreamMind
Real-time recommendations on streaming features
streammind-topaz.vercel.app
Overview
What StreamMind does.
Two-stage retrieval and ranking over features that update as users act, rather than as a nightly batch. Kafka carries the feature pipeline, FAISS handles candidate retrieval, and the whole path is instrumented.
Two-stage candidate retrieval then ranking
Streaming feature pipelines over Kafka
FAISS vector search for candidate generation
Online metrics on serving latency and quality
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