Semantic Autocomplete
Build semantic autocomplete with client-side vector search, realistic architecture, full code, and hard trade-offs for browser-native retrieval.
vector search use cases
These pages explain where browser-native vector search is a genuine architectural advantage and where a server is still the correct answer.
Build semantic autocomplete with client-side vector search, realistic architecture, full code, and hard trade-offs for browser-native retrieval.
Product search for e-commerce using altor-vec, static catalog vectors, local retrieval, and clear limits for when backend search still wins.
Recommendation engine architecture with client-side vector search, item similarity, and candid guidance on where local retrieval stops being enough.
Offline-first search with service workers, cached vector indexes, and altor-vec retrieval that still works when the network disappears.
Browser-based RAG page covering local retrieval with altor-vec, prompt assembly, and practical server versus browser boundaries.
Image search with client-side vector search, altor-vec retrieval, and realistic notes about browser limits and embedding pipelines.
Client-side document and PDF search using altor-vec, chunked text extraction, and practical notes for browser document retrieval.
Local chat memory with altor-vec, browser vector retrieval, and candid guidance on when conversational memory still belongs on a backend.