Documentation Index
Fetch the complete documentation index at: https://docs.moorcheh.ai/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Uploads one or more documents to a text namespace. Each document is embedded with the configured Ollama model and stored for semantic search. The upload runs asynchronously. Poll upload_job_status with the returnedjob_id.
Any extra fields on each document object (for example
team, source) are stored as metadata and can be used in search filters.Method
API
POST /namespaces/{namespace_name}/documents — see Upload documents
Parameters
Target text namespace.
Non-empty array of document objects.
Item id, unique within this namespace.
Document text to embed and store.
Optional additional keys on each document are saved as metadata (for example
"team": "ai").Example
Returns
"success" when the upload job was started.Human-readable result description.
Id of the async upload job. Poll upload_job_status with this value.
Namespace the documents are being uploaded to.
Number of documents accepted into the upload job.
Current total item count on the instance. Present on 409 item limit errors in
MoorchehApiError.body.Global item cap for this instance. Present on 409 item limit errors.
Number of new item ids in the request that would exceed the cap. Present on 409 item limit errors.
Example return value
Errors
Non-2xx responses raiseMoorchehApiError. Use e.is_item_limit_exceeded for 409 quota errors.
| Status | Cause |
|---|---|
| 400 | Empty documents, missing id/text, or wrong namespace type |
| 404 | Namespace not found |
| 409 | Global item limit would be exceeded (job not started) |