FAISS

• 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.

• 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.

• 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.

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