Frequently Asked Questions
AI search inside video works by transcribing spoken content, indexing it alongside metadata and documents, and using a language model to answer natural language questions with citations to the exact moment. Users type a question, and the system returns the relevant segments across video, audio, and documents, with timestamps that let them jump straight to the source instead of scrubbing through hours of footage.
A video knowledge base is built for retrieval and question answering, while a video library or LMS is built for browsing, watching, and tracking completion. Teams use a knowledge base to ask a question and get a cited answer pulled from across recordings and documents, rather than navigating folders or course catalogs to find which video might contain the information.
Yes, AI generated answers can be trusted for regulated use when they are grounded in approved source content with timestamps, citations, and the same access controls and retention rules applied to the underlying files. Permissions and audit logs extend to AI retrieval, so users only see answers from content they are authorized to access, and every answer can be verified against the source moment.
Yes, organizations can bring their own large language model or choose from supported models, with cloud hosted and self hosted options available. This lets regulated teams keep data inside their security and compliance boundaries, apply existing access controls to AI retrieval, and align AI usage with internal policies and regulatory requirements.
A video knowledge base indexes video, audio, documents, and images as a single searchable knowledge layer, with permissions enforced consistently across formats. This lets teams retrieve answers that span recorded meetings, training sessions, policy documents, and reference materials in one query, instead of searching each system separately.
A video knowledge base integrates with identity providers like Azure AD for SSO, collaboration tools like Microsoft Teams and Zoom for recording ingestion, content systems like SharePoint, and storage platforms through APIs. This lets organizations build the knowledge layer on top of the systems they already use, without forcing teams to change workflows or migrate content.
