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GOCUX / Documentationfindall api

Find entities in project evidence

Locate relevant entities without claiming a global people or company search index.

Locate relevant entities without claiming a global people or company search index.

Practical procedure

  1. Define the entity type and the identifiers that distinguish one record from another. For company work, prefer stable domain or registered-name context to fuzzy labels alone.
  2. Search the project corpus for distinctive identifiers and inspect the returned passages. Keep potential matches as candidates until the evidence meets the inclusion rule.
  3. Record why each candidate was included or rejected. Use the original source references when a reviewer needs to resolve two similarly named entities.

Search the project corpus

Knowledge holds document text and provenance inside a project. Create a source, upload a document into that source, and inspect the extracted text before relying on a search result. Full-text retrieval is available after ingestion; semantic retrieval contributes when the embedding configuration and backfill are available. This operation searches the uploaded corpus, rather than fetching arbitrary web pages.

Contract example

Developer examples below describe routes on an authorized, configured GoCux control-plane base URL. They are request shapes or operation references, not claims that a particular public hostname exposes the API. Use the workspace for the corresponding human workflow; availability and permissions depend on the actual deployment.

POST /knowledge/search — example request body

{
  "projectId": "project-id",
  "query": "renewal conditions effective date",
  "limit": 10
}

Inspect the result

The response contains the query and a hits array. Use the returned chunk provenance to trace each hit to its document and source. Compare the actual passage with the question before treating it as evidence. Search ranking helps find material; it does not itself establish that a claim is correct.

What to keep explicit

GoCux project search can only find material in the imported corpus. The absence of a hit does not prove that an entity does not exist.

Handle incomplete and refused work

projectId must identify an existing project; the query is 1–1,000 characters and limit is 1–50, default 10. An empty hits array is a valid result. A 503 is an unavailable store and must remain visibly different from an empty result. Semantic unavailability must not be described as a complete search outage when full-text search still works.

Bring this workflow into your workspace.

Set the scope. Review the evidence. Approve the steps that need it.

Open the workspace

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