Request
Content-Type:multipart/form-data
The POST request should be a multipart form request containing the file to be uploaded.
AI Tutor RAG API Endpoint
File Upload API
Upload PDF or text files to be processed and chunked for embedding search.
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Upload PDF or text files to be processed and chunked for embedding search.
multipart/form-data
The POST request should be a multipart form request containing the file to be uploaded.
| Name | Type | Required | Description |
|---|---|---|---|
| chunk_size | integer | No | The chunk size (in tokens) applied when splitting the document |
| chunk_overlap | integer | No | The chunk overlap (in tokens) applied when splitting the document |
const formData = new FormData();
formData.append("file", files[0]); // Accepts PDF (.pdf) or text (.txt) files
const response = await fetch("https://rag-api-llm.up.railway.app/upload_file", {
method: "POST",
headers: {
"authorization": apiKey,
},
body: formData,
});
{
"success": true,
"message": "PDF file processed successfully",
"file_id": "4db6b5d7-b199-4bfd-9914-6991cb4ba3b6",
"file_name": "elon_musk.txt",
"chunks": 2,
"chunk_size": 1000,
"chunk_overlap": 200
}
{
"success": false,
"error": {
"message": "Invalid file type. Only PDF and TXT files are supported",
"code": "invalid_file_type"
}
}
{
"success": false,
"error": {
"message": "File size exceeds maximum limit of 10MB",
"code": "file_too_large"
}
}
{
"success": false,
"error": {
"message": "Invalid API key provided",
"code": "unauthorized"
}
}