AI-powered search that retrieves relevant knowledge from your teamspace, builds a merged context, and generates a natural language answer with numbered source citations. The response includes the generated answer, the sources cited (with links and metadata), and the full search tree results for reference. Use this when you want an AI-generated summary answer grounded in your team’s data.
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Request body for AI-powered search.
The natural language search query. The AI will search your indexed knowledge and generate an answer.
Optional filter to restrict search to specific record types (rows, tables, files, pages, cells).
The record type in the vector database.
rows, tables, files, pages, cells Maximum number of search results to consider when generating the answer.
An AI-generated answer with source citations and the underlying search tree results.
AI-generated answer with source citations and the underlying search results.
The object type, always search_ai_result.
search_ai_result AI-generated natural language answer based on the search results. Contains numbered citations like [1], [2] that reference entries in the sources array.
Sources cited in the answer, ordered by citation index. Each source links back to the original data in your teamspace.
The full search tree results used to generate the answer. Useful for displaying raw results alongside the AI summary.
Credit consumption for this search. When present, consumed reflects the actual variable cost of the retrieval work performed for this request. null when the billing write fails or the request is aborted before billing completes.