Beyond Brute Force: A Practical Guide to Vector Search Algorithms for AI EngineersFrom exact k-NN and HNSW to IVF-PQ, hybrid lexical-vector retrieval, learned indexes, and binary embeddings - choosing the right retrieval strategy for production AI systems
A practical engineering guide to vector search: exact k-NN, HNSW, IVF, product quantization, hybrid lexical+vector search, learned indexes, and binary embeddings compared
High-Performance AI Search: Building Fast, Accurate Retrieval PipelinesHow to architect vector search systems that are both fast and accurate, using hybrid retrieval, reciprocal rank fusion, and cross-encoder reranking
A practical guide to high-performance AI search: multi-stage retrieval architecture, reciprocal rank fusion, cross-encoder reranking, and latency budgeting for production systems.