How to Add Semantic Search to Your Website in 5 Minutes
End-to-end quickstart with embeddings, index construction, and ranking quality comparison.
This blog is written for JavaScript and TypeScript developers who want practical semantic retrieval without running a search backend. Every guide includes architecture notes, trade-offs, and runnable code snippets.
End-to-end quickstart with embeddings, index construction, and ranking quality comparison.
Cost, latency, and privacy analysis with benchmarks and HNSW design notes.
PWA architecture using IndexedDB, service workers, and local index updates.
Why semantic suggestions outperform prefix matching and how to implement both.
Intuition for layers, greedy traversal, beam search, and memory/speed trade-offs.
Debounced input, hook design, score rendering, and production hardening tips.
Deep dive into build-time embeddings, browser HNSW indexing, web workers, and performance constraints.
RAG architecture with local embeddings, local retrieval, and an in-browser generator.