Update a document with any content type (text, url, file, etc.) and metadata
Documentation Index
Fetch the complete documentation index at: https://supermemory.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Optional tag this document should be containerized by. This can be an ID for your user, a project ID, or any other identifier you wish to use to group documents.
100^[a-zA-Z0-9_:-]+$"user_alex"
(DEPRECATED: Use containerTag instead) Optional tags this document should be containerized by. This can be an ID for your user, a project ID, or any other identifier you wish to use to group documents.
100^[a-zA-Z0-9_:-]+$The content to extract and process into a document. This can be a URL to a website, a PDF, an image, or a video.
Plaintext: Any plaintext format
URL: A URL to a website, PDF, image, or video
We automatically detect the content type from the url's response format.
"Our API rate limits are 100 req/min on free and 1000 on pro. Clients should use exponential backoff on 429s."
Optional custom ID of the document. This could be an ID from your database that will uniquely identify this document.
"doc-api-rate-limits"
Optional metadata for the document. This is used to store additional information about the document. You can use this to store any additional information you need about the document. Metadata can be filtered through. Keys must be strings and are case sensitive. Values can be strings, numbers, or booleans. You cannot nest objects.
{ "source": "upload", "language": "en" }Task type: "memory" (default) for full context layer with SuperRAG built in, "superrag" for managed RAG as a service.
memory, superrag "memory"
Optional file path for the document (e.g., '/documents/reports/file.pdf'). Used by supermemoryfs to map documents to filesystem paths.
"/documents/reports/file.pdf"
Optional metadata filter scoping which existing memories are pulled as context during ingestion. Scalar values match exactly (AND across keys); array values match ANY (OR within key). Only memories whose source documents match this filter are used as context.
{
"department": "engineering",
"region": "us"
}