Building a Pure Python HNSW Vector Index with Disk Persistence
Learn to implement a hierarchical navigable small world graph from scratch in Python, with persistence and incremental updates, to impress hiring managers.
Learn to implement a hierarchical navigable small world graph from scratch in Python, with persistence and incremental updates, to impress hiring managers.
A step‑by‑step guide to building a hierarchical navigable small‑world vector index from scratch, with runnable code, benchmarking, and production‑ready extensions.
Learn to build a from‑scratch HNSW index for semantic similarity search, showcasing systems skills for hiring managers.
This guide walks through implementing an IVF‑PQ index in pure Python, storing data on disk and integrating it into a RAG pipeline for sub‑second similarity search.
Learn to build a HNSW‑based vector index from scratch, demonstrating systems skills that catch hiring managers’ eyes.