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POST
This endpoint allows you to upload a document to an assistant’s knowledge base for Retrieval-Augmented Generation (RAG). The document will be processed, chunked, and stored as embeddings in a vector database. The request must be sent as multipart/form-data.

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Path Parameters

  • assistant_id (string, required): The unique identifier of the assistant to whom the document will be added.

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Form Data

  • file (file, required): The document to upload. Supported file types include .txt, .pdf, .md, and .docx.

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Response

A successful request will immediately return a document object with a processing status. The document will be processed in the background. You can check the status later using the Get Document Status endpoint.
Response

Authorizations

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Authorization
string
header
required

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

Path Parameters

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assistant_id
integer
required

Body

multipart/form-data
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file
file
required
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name
string | null
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category
string | null
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tags
string | null

Response

Successful Response