Streaming HNSW Vector Index with Sliding‑Window Pruning
Learn to implement a lightweight, incremental HNSW index in Python that prunes old vectors with a sliding window, perfect for real‑time embedding pipelines.
Learn to implement a lightweight, incremental HNSW index in Python that prunes old vectors with a sliding window, perfect for real‑time embedding pipelines.
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.
A hands-on build guide for a pure Python HNSW vector index — the data structure powering billion-scale vector search at Meta, Spotify, and Qdrant. Includes runnable code, architecture diagrams, and a senior-level extension roadmap.
Build an HNSW graph vector index from scratch in pure Python and integrate it into a RAG pipeline. This hands-on guide covers the full implementation, testing, and a roadmap to production-grade features.