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POST
/
namespaces
/
{namespace_name}
/
documents
curl -X POST "http://localhost:8080/namespaces/my-documents/documents" \
  -H "Content-Type: application/json" \
  -d '{
    "documents": [
      {
        "id": "doc-1",
        "text": "Moorcheh on-prem retrieval test",
        "team": "ai"
      }
    ]
  }'
{
  "status": "success",
  "message": "Documents upload started. Poll job status for progress.",
  "job_id": "job-a0e3d54b9d0d4616949474697308a39c",
  "namespace_name": "my-documents",
  "total": 1
}

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

Upload 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 returned job_id.
Any extra fields on each document object (for example team, source) are stored as metadata and can be used in search filters.

Path parameters

namespace_name
string
required
Target text namespace.

Headers

Content-Type
string
required
Must be application/json

Body

documents
array
required
Non-empty array of document objects.
documents[].id
string
required
Item id, unique within this namespace.
documents[].text
string
required
Document text to embed and store.
documents[].{metadata}
any
Optional additional keys on each document are saved as metadata (for example "team": "ai").
curl -X POST "http://localhost:8080/namespaces/my-documents/documents" \
  -H "Content-Type: application/json" \
  -d '{
    "documents": [
      {
        "id": "doc-1",
        "text": "Moorcheh on-prem retrieval test",
        "team": "ai"
      }
    ]
  }'

Response fields

status
string
Request outcome. "success" when the upload job was started; "failure" on error.
message
string
Human-readable result or error description.
job_id
string
Id of the async upload job. Poll Upload job status with this value. Present when the upload job was started.
namespace_name
string
Namespace the documents are being uploaded to. Present when the upload job was started.
total
number
Number of documents accepted into the upload job. Present when the upload job was started.
items
number
Current total item count on the instance. Present on 409 item limit errors.
max_items
number
Global item cap for this instance. Present on 409 item limit errors.
requested_new
number
Number of new item ids in the request that would exceed the cap. Present on 409 item limit errors.
{
  "status": "success",
  "message": "Documents upload started. Poll job status for progress.",
  "job_id": "job-a0e3d54b9d0d4616949474697308a39c",
  "namespace_name": "my-documents",
  "total": 1
}

Important Notes

  • At most 100,000 items total across all namespaces
  • 409 is returned before the job starts if new ids would exceed the cap
  • Re-uploading an existing id in the same namespace updates the item and does not consume extra quota

Next Steps