Build a Pure‑Python Hybrid RAG Engine with BM25, HNSW, and Cross‑Encoder Reranking
Learn to stitch together BM25, HNSW, and a miniature GPT‑2 model in pure Python for a standout RAG project.
Learn to stitch together BM25, HNSW, and a miniature GPT‑2 model in pure Python for a standout RAG project.
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.
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.