AACsearch vs Weaviate
Weaviate is a vector database. AACsearch is a full-text plus vector hybrid search API. Here is what you get from each.
Vector DB vs. hybrid search API
Both support vectors, but AACsearch adds keyword search, facets, typo tolerance, and a multi-tenant hosting layer that Weaviate lacks.
Keyword + vector in one call
AACsearch hybrid search combines BM25 keyword relevance with vector similarity in one query. Weaviate BM25 support is secondary to its vector focus.
Faceted navigation
AACsearch computes facet counts on every query — essential for e-commerce and documentation search. Weaviate has no native faceted navigation.
Typo tolerance
AACsearch has built-in fuzzy matching and typo tolerance for end-user queries. Weaviate vector search does not help with misspelled terms.
Native multi-tenancy
AACsearch org-scoped keys and per-tenant analytics are first-class features. Weaviate multi-tenancy requires separate schemas and manual isolation.
Transparent pricing
AACsearch charges per search-unit with a predictable monthly bill. Weaviate cloud pricing is dimension times vector times query — complex to forecast.
Drop-in search widget
AACsearch ships a 14KB browser widget with instant search, facets, and analytics. Weaviate has no equivalent — you build the UI from scratch.
Launch Search OS in one evening
Create an index, add documents and connect search from your app. Free tier covers a prototype — data persists when you upgrade.