Increase your content’s organization with auto-tagging and rule-based metadata helping to manage massive amounts of data with quicker search methods.
AI-powered search uses NLP and semantic analysis to interpret natural-language queries and summarize search results with relevant source citations.
Unlike keyword-only systems, AI search understands intent and context, offering conversational query support, synonyms, and concept matching to surface precise results.
Yes—it connects with networks, cloud drives, email systems, and databases, creating a unified index so users can search across silos seamlessly.
Some platforms offer automatic summaries, extracting key insights or answers directly from files—helping users make decisions without opening full documents.
Secure AI search respects user access rights from source systems and integrates with SSO or identity providers, ensuring results are only visible to authorized users.
These systems support diverse formats including Office docs, PDFs, presentations, images, emails, and even embedded metadata—improving content discoverability.
Admins can configure ranking preferences, boost priority documents, set facet filters, and adjust indexes to optimize search relevance and speed.