See Interakt in Action
Five short demos on a live fashion catalog — from semantic search and grounded chat to guardrails and full execution traces. Real interactions, no slideshow.
Can Your Search Do This?
Describe what you mean — not the exact words. Interakt resolves intent like "elegant dress for an evening out" and "vegan leather bags under $200" into ranked, filterable results, with an AI summary on top.
Chat That Knows Your Catalog
A chat that answers from your actual product data — materials, ratings, per-variant stock — remembers the conversation, and styles outfits across categories. Grounded, multi-turn, with rich product cards.
AI on Your Site, Without the Risk
Configurable input/output guardrails block harmful or off-topic prompts before they reach the model, and deterministic mode constrains the AI to answer only from your data — no hallucinations. You set the rules.
Watch It Think
Follow one real conversation from question to answer — then open its full execution trace: guardrail, the catalog tools it called, retrieved products, synthesis, tokens, and cost. Then zoom out to analytics across every query. No black box.
Live in Two Lines
Paste a script tag and one init call and the search or chat widget is live on your site. Swap the AI provider from the admin with no code change. Or call the REST API directly — token-authenticated, SSE streaming for chat.
Ready to try it on your own data?
These demos run on a sample fashion catalog. Bring your own catalog, docs, or knowledge base — open source, MIT licensed, no commitment.