Features
Built for modern data.
SuggestAPI is designed for teams that need search suggestions to understand meaning, tolerate imperfect input, and respond quickly enough to feel native inside the product experience.
Hybrid Search Engine
Combines the raw speed of SQLite FTS5 for character matching with vector embeddings for conceptual matching, helping teams return more relevant suggestions when users type incomplete, vague, or misspelled queries.
Sub-20ms Latency
Built on an async FastAPI architecture with optimized C-extensions for SymSpell, SuggestAPI is designed to feel responsive enough for live search boxes, command palettes, and in-product navigation experiences.
Intent Prediction
A specialized endpoint can return actionable objects instead of plain text so teams can map fuzzy user queries directly to features, content, services, and next-step workflows.
Privacy-First Analytics
First-party click tracking and behavioral learning support smarter ranking over time without leaning on third-party cookies, making the analytics model easier to align with privacy-conscious teams and compliance requirements.
Built for real product teams
Whether you are building SaaS navigation, ecommerce discovery, documentation search, or internal knowledge tools, SuggestAPI is focused on making search suggestions more useful than traditional autocomplete by combining speed, tolerance for imperfect input, and an understanding of user intent.