CRINN Vector Search Optimization: AI-Led Reinforcement Learning Slashes ANNS Latency by 85%

CRINN: Teaching an AI to Make Vector Search Lightning-Fast ❝ “My vector database is getting sluggish—can anything be done without a PhD in performance engineering?” “Is there a way to let software tune itself?” “Once my model is trained, can I still squeeze out more speed?” ❞ If you have asked any of these questions, this post explains a practical path forward. We will walk through 「CRINN」—a framework that uses 「contrastive reinforcement learning」 to accelerate 「approximate nearest-neighbor search (ANNS)」 by 10 %–85 %, without touching a line of hand-tuned assembly. 1. Why ANNS Matters More Every Day Real-world job Why …