FAQS
Enterprise search indexes the systems your organisation already runs and returns results filtered by each user's access rights. The semantic version ranks by meaning rather than literal word overlap, so a query finds the right document even when the wording differs.
Vector search is one component. TeamSync combines vector similarity with keyword matching and an entity graph, so precision and recall improve together. RAG is a different job - it feeds retrieved passages to a model to generate an answer, which is what DocuTalk does.
No. Federated indexing reaches your existing storage systems, so search works across legacy archives and the new repository at the same time without a migration project.
Yes. Meaning-based matching is less dependent on exact wording than keyword search, and OCR coverage extends it to scanned material. Language coverage depends on your deployment configuration - confirm the set you need during scoping.
Synonym sets, boosted metadata fields and per-workspace ranking rules let you teach search the vocabulary your industry uses, so an internal shorthand returns the same results as the formal term.