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Sublay’s Search & AI features use vector embeddings to power natural language search and question answering across all content in your project — entities, comments, chat messages, users, and spaces.
Requires the ai-search bundle. Semantic search and the AI ask endpoint are only available when the ai-search bundle is installed on your project. See Bundles to add it.
Semantic search and AI features require embeddings to be enabled for your project. Configure this in the Sublay dashboard under Settings → Semantic Search / AI.
Search returns the most semantically similar records to a given query. Results include a similarity score alongside the matched record.

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AI Q&A

useAskContent lets users ask natural language questions and receive synthesized answers generated from your project’s content. The response streams token by token via SSE (Server-Sent Events) and includes source citations.

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In This Section

Semantic Search

Search entities, comments, messages, users, and spaces by natural language query

Ask

Ask a question and stream a generated answer with source links

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Hooks

useSearchContent

Search entities, comments, and messages by natural language

useSearchUsers

Find users by name, bio, or other profile text

useSearchSpaces

Find spaces by name, description, or topic

useAskContent

Ask a question and receive a streamed, cited answer