Ask by Slite

Ask by Slite is an AI search tool. Ask is Slite's AI assistant that answers questions using your workspace documents and connected apps, citing sources and respecting document permissions. It works in the browser via a Chrome extension and answers questions automatically inside Slack channels.

Ask is the AI answer layer built into Slite, the collaborative knowledge base. Instead of scanning a search results page for a document that may contain what you need, a team member types a plain question and receives a direct answer assembled from the workspace content, with the underlying documents cited so the response can be checked. Slite positions it as a replacement for the dead end of an empty search: the information usually exists somewhere, and Ask cross-references sources to surface it quickly. The feature extends beyond Slite's own pages. Connected apps feed additional sources into the same answer flow, and source filters let a user limit a query to verified documents when accuracy matters more than coverage. A Chrome extension keeps the assistant available inside the browser, and in Slack, Ask listens to channel conversations and answers questions automatically without waiting for someone to invoke it. Permissions carry over from normal search, so a person only receives answers drawn from documents they are allowed to view and workspace data stays separated from other customers. Practical use cases cluster around onboarding and internal support. New hires can ask how a process works rather than interrupting a colleague, and repeated questions in Slack can be deflected by automatic answers. Ask also reports knowledge gaps when an answer looks thin or outdated, which gives documentation owners a prompt to fix the source. Users can request a format, such as bullet points or a beginner-friendly explanation, and the assistant accepts questions in multiple languages and translates the relevant content. Typing a keyword produces suggested questions drawn from existing team content. Ask competes with AI search layers in Notion, Confluence and dedicated enterprise search products. The distinction is that it is inseparable from Slite's own editor, channels and verification model, so it makes most sense for teams already storing knowledge there, or willing to migrate. Buyers evaluating standalone answer engines should weigh whether tying retrieval to one knowledge base is acceptable.