Search, recommendations and AI answers for your industry
Every vertical fails search in its own way: sizes in fashion, part numbers in auto parts, compatibility in electronics, permissions in internal knowledge. Pick yours to see how each layer of AACSearch handles it.
Search
Finds the right item from the first letters — typos, synonyms, filters, meaning.
Recommendations
Widens the basket: similar, frequently together, personal.
AI answers (RAG)
Answers questions a filter can't, citing your own catalogue and docs.
Graph and GraphRAG
Learns how items, queries and topics connect — and leads the visitor to the goal.
Commerce
Sizes, colours, styles and “something like this” — search that understands how people actually shop for clothes, and outfits that build the basket.
Model numbers, specs and compatibility — search that matches “iphone 15 pro 256” exactly, explains the difference between two TVs, and never suggests a charger that doesn't fit.
Tens of thousands of SKUs, trade slang and project-shaped questions — search that understands “дюбель 6х40” and helps a customer finish a whole project, not just buy one item.
Skin types, ingredients, shades and routines — search that understands “for oily skin without alcohol”, and recommendations that build a routine instead of repeating the same cream.
OEM numbers, cross-references and fitment — search that finds a part by any of its numbers and only shows what fits the customer's car.
Fast, repeat, mobile — search for grocery baskets where every second counts, recipes turn into carts and substitutes save the order.
Millions of listings from thousands of sellers — search that de-duplicates, keeps results diverse, separates sponsored placements and isolates each seller's data.
Article numbers, customer-specific catalogues and repeat orders — search that shows each buyer only what they may buy, at their price, and reorders in seconds.
Brand and generic names, active ingredients and dosages — pharmacy search that finds a medicine by any of its names and never invents medical facts.
Content and knowledge
Versions, code and error messages — documentation search that finds the right section, and an assistant that answers with citations instead of inventing an API.
Help-centre search and an assistant that resolves questions before they become tickets — and knows when to hand over to a human.
Policies, contracts, wikis and tickets in one search — where every employee sees only what they're allowed to, and the assistant connects facts across documents.
Freshness, topics and reading paths — search that ranks today's story above last year's, and recommendations that keep readers on the site.
Courses, lessons and learning paths — search that understands goals like “стать аналитиком”, answers from course materials and recommends the next step of a path.
Services and listings
Location, budget and lifestyle — listing search that understands “двушка у метро до 12 млн с балконом”, maps it to filters and shows what's nearby.
Destinations, dates and moods — search that understands “тёплое море в ноябре с детьми” and answers questions about a hotel from its own description.