Data Operations
Upload Documents
Upload text documents to a text namespace. Embeddings are computed via Ollama. Returns an async job id.
POST
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 returnedjob_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
string
required
Target text namespace.
Headers
string
required
Must be
application/jsonBody
array
required
Non-empty array of document objects.
string
required
Item id, unique within this namespace.
string
required
Document text to embed and store.
any
Optional additional keys on each document are saved as metadata (for example
"team": "ai").Response fields
string
Request outcome.
"success" when the upload job was started; "failure" on error.string
Human-readable result or error description.
string
Id of the async upload job. Poll Upload job status with this value. Present when the upload job was started.
string
Namespace the documents are being uploaded to. Present when the upload job was started.
number
Number of documents accepted into the upload job. Present when the upload job was started.
number
Current total item count on the instance. Present on 409 item limit errors.
number
Global item cap for this instance. Present on 409 item limit errors.
number
Number of new item ids in the request that would exceed the cap. Present on 409 item limit errors.