Search

The search module runs semantic (vector) search over your project’s content and powers a streaming, RAG-style question-answering endpoint.

These features require semantic search to be enabled for your project. See the Semantic Search & AI guide for setup.

The three search* functions return raw arrays of similarity-ranked results (not a PaginatedResponse); each element is { similarity, record }. askContent is different — it streams its answer (see below).

searchContent

Semantic search over content — entities, comments, and chat messages.

const results = await sublay.search.searchContent({
  query: "getting started guide",
  sourceTypes: ["entity", "comment"],
  spaceId: "spc_abc123",
  limit: 10,
});

for (const { sourceType, similarity, record } of results) {
  console.log(sourceType, similarity, record);
}

string

required

The search query string.

("entity" | "comment" | "message")[]

Which content types to search. Defaults to all.

string

Scope the search to a specific space.

boolean

default:"false"

Only applies with spaceId. When true, the search also covers every space nested under it — the whole subtree at any depth — not just the named space. Ignored without spaceId.

string

Scope the search to a specific conversation.

number

Maximum number of results to return.

Returns — Promise<ContentSearchResult[]>, where each element is { sourceType: "entity" | "comment" | "message"; similarity: number; record: Entity | Comment | ChatMessage }.

searchUsers

Semantic search over the project’s users.

const results = await sublay.search.searchUsers({ query: "alice", limit: 10 });
// results: [{ similarity, record: User }, ...]

string

required

The search query string.

number

Maximum number of results to return.

Returns — Promise<UserSearchResult[]>, where each element is { similarity: number; record: User }.

searchSpaces

Semantic search over the project’s spaces.

const results = await sublay.search.searchSpaces({ query: "photography", limit: 10 });
// results: [{ similarity, record: Space }, ...]

string

required

The search query string.

number

Maximum number of results to return.

Returns — Promise<SpaceSearchResult[]>, where each element is { similarity: number; record: Space }.

askContent

Asks a natural-language question over your content and streams the answer back as it is generated. Unlike every other SDK function, askContent is an async generator over Server-Sent Events — you for await over it rather than awaiting a single result.

askContent streams via fetch rather than axios, so it does not get the automatic token-refresh-on-403 retry that other calls have. In SDK-managed mode, make sure a fresh access token is in place before starting a long stream.

const controller = new AbortController();

const stream = sublay.search.askContent({
  query: "What are the best practices for error handling?",
  spaceId: "spc_abc123",
  signal: controller.signal,
});

let answer = "";
let sources = [];

for await (const event of stream) {
  switch (event.type) {
    case "token":
      answer += event.content; // append streamed text
      break;
    case "sources":
      sources = event.sources; // ContentSearchResult[] the answer draws on
      break;
    case "done":
      break; // the stream is complete
    case "error":
      console.error(event.error);
      break;
  }
}

// Cancel early with controller.abort() — or simply `break` out of the loop.

string

required

The natural-language question to answer.

("entity" | "comment" | "message")[]

Which content types to draw from. Defaults to all.

string

Scope the answer to content within a specific space.

boolean

default:"false"

Only applies with spaceId. When true, the context lookup also covers every space nested under it — the whole subtree at any depth — so you can ask across a community and all of its channels at once. Ignored without spaceId.

string

Scope the answer to a specific conversation.

number

Maximum number of sources to draw from.

AbortSignal

Aborts the in-flight stream (e.g. when the user navigates away). You can also stop consuming by breaking out of the for await loop.

Returns — AsyncGenerator<AskContentEvent, void, unknown>. Each yielded event is one of:

type AskContentEvent =
  | { type: "token"; content: string }              // a chunk of answer text
  | { type: "sources"; sources: ContentSearchResult[] } // the cited sources
  | { type: "done" }                                 // stream finished
  | { type: "error"; error: string };                // a stream/server error

Completion and errors are signalled in-band as done / error events — the generator itself returns void and does not throw on a server-reported error.

matchUsers

Matches people by activity-derived interest facets, in passive mode (against the current user’s own facets) or directed mode (against a free-text topic). See the Interest Matching guide for setup and the model.

Requires a paid plan, the ai-search and interest-matching bundles, and interestMatching.enabled on the project. passive requires an identified user; directed requires one too.

const { results } = await sublay.search.matchUsers({
  mode: "passive",
  limit: 10,
});

// results: [{ user, score, matchedFacets: [{ similarity, candidateFacet, askerFacet?, sampleContent? }] }]

string

required

"passive" or "directed".

string

The topic to match against. Required in directed mode; rejected in passive mode.

number

default:"20"

Maximum number of matched users. Maximum 50.

string

Restrict candidates to users active in this space.

boolean

default:"false"

With spaceId, also include users active in the space’s subtree.

boolean

default:"false"

Request illustrative sample content per matched facet. Only honored when the project has interestMatching.exposeSampleContent on; otherwise returns 403 match/sample-content-disabled.

boolean

default:"true"

Exclude the current user from results.

Returns — Promise<{ results: UserMatchResult[] }>. Unlike searchContent/searchUsers/searchSpaces (which return bare arrays), match returns the { results } envelope, ordered by descending score.

Getting Started

Modules

searchContent

searchUsers

searchSpaces

askContent

matchUsers

​searchContent

​searchUsers

​searchSpaces

​askContent

​matchUsers

searchContent

searchUsers

searchSpaces

askContent

matchUsers