#faiss
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Product Quantization Explained for Vector Search
Learn how product quantization compresses embeddings, how IVF-PQ changes recall, and how to evaluate a Faiss index with MLflow before deployment.
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Cosine Similarity vs Dot Product: How Rankings Differ
Vector norms determine when cosine similarity and dot product rank results identically and when magnitude changes retrieval order.
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How to Benchmark Recall at K for ANN Indexes
The guide explains exact ground truth, tie-safe recall@k, controlled efSearch sweeps, latency measurement, and how to interpret vendor benchmarks.