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Neither keyword search nor vector search is sufficient on its own. Keyword search fails silently on vocabulary mismatch. Vector search returns confidently wrong results for exact queries, negation, and domain-specific terms. Production systems need both, and combining them well is a distinct engineering discipline.

Designing Hybrid Search Systems is the first book-length treatment of hybrid search as a system design problem. It covers the full stack: fusion algorithms and pipeline architecture, embedding model selection and fine-tuning, reranker training, offline and online evaluation methodology, latency and cost optimization, and applied guidance for RAG pipelines, e-commerce, and enterprise knowledge search.

Every architectural pattern is vendor-neutral. Every quantitative claim cites its source. The book is grounded in primary research, translated into system design decisions for practitioners who build and operate search infrastructure.

Written for senior engineers, ML engineers, engineering managers, and enterprise architects who need to ship search systems that actually work.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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