Product-Quantization

Pure‑Python Product‑Quantized IVF Index for Fast ANN Search

A step‑by‑step guide to building a pure‑Python product‑quantized IVF index for fast approximate nearest‑neighbor search, complete with runnable code, benchmarks, and extension paths for production use.

HNSW vector index with product quantization illustration

From Scratch: Building an HNSW Vector Index with Product Quantization in Pure Python

Build a pure‑Python HNSW index with PQ from the ground up, test it on real data, and extend it with persistence, benchmarking, and scaling — a standout project for engineering roles.

Python code and mathematical formulas representing vector indexing.

Building an IVF-PQ Vector Index from Scratch in Pure Python

Learn how to build an IVF-PQ vector index from scratch using pure Python, implementing k-means clustering and product quantization to achieve scalable similarity search.