Add document

JavaScript

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({content: '<string>'})
};

fetch('https://api.supermemory.ai/v3/documents', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

Response

{
  "id": "<string>",
  "status": "<string>"
}

Authorizations

Authorization
string
header
required
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
content
string
required
The content to extract and process into a document. This can be a URL to a website, a PDF, an image, or a video.

containerTag
string
Optional tag this document should be containerized by. Max 100 characters, alphanumeric with hyphens, underscores, and dots only.

entityContext
string
Optional entity context for this container tag. Max 1500 characters. Used during document processing to guide memory extraction.

customId
string
Optional custom ID of the document. Max 100 characters, alphanumeric with hyphens, underscores, and dots only.

metadata
object
Optional metadata for the document.

taskType
enum<string>
Task type: "memory" (default) for full context layer with SuperRAG built in, "superrag" for managed RAG as a service.
Available options: memory, superrag

Response

200
application/json
Document added successfully

id
string
required
Unique identifier of the document

status
string
required
Status of the document

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.