Building a Pure-Python IVF-PQ Vector Index with On-Disk Inverted Files
A hands-on guide to implementing an IVF-PQ vector index in pure Python, with on-disk inverted files and product quantization for scalable similarity search.
A hands-on guide to implementing an IVF-PQ vector index in pure Python, with on-disk inverted files and product quantization for scalable similarity search.
A hands-on guide to building a pure Python IVF index with product quantization and residual vector quantization — a portfolio project that signals deep systems and ML infrastructure skill to hiring managers.
This guide walks you through building a hierarchical navigable small world vector index in pure Python. You’ll learn brute‑force construction, greedy graph search, and how to extend it for production.
Build a working HNSW vector index in pure Python to showcase systems engineering skills to hiring managers.
A hands-on guide to building a pure-Python HNSW index with IVF clustering and brute-force rescoring. Learn how approximate vector similarity search works under the hood and create a portfolio project that signals deep systems expertise to hiring managers.