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POST
/
train
/
pdf
Train PDF for RAG
curl --request POST \
  --url https://rag-prod.studio.lyzr.ai/v3/train/pdf/ \
  --header 'Content-Type: multipart/form-data' \
  --header 'x-api-key: <api-key>' \
  --form file='@example-file' \
  --form data_parser=llmsherpa \
  --form 'extra_info={}'
{
  "message": "PDF parsing and training completed successfully",
  "rag_id": "6848ff3c4c291b4bef798e0c",
  "document_count": 20
}

Authorizations

​
x-api-key
string
header
required

Query Parameters

​
rag_id
string
required

The ID of the RAG configuration to which this document will be added.

Body

multipart/form-data
​
file
file
required

The PDF file to upload and train.

​
data_parser
string
default:llmsherpa

Optional parser type. (e.g., "llmsherpa")

​
extra_info
string
default:{}

Optional additional metadata in stringified JSON.

Response

PDF trained successfully

​
message
string
Example:

"PDF parsing and training completed successfully"

​
rag_id
string
Example:

"6848ff3c4c291b4bef798e0c"

​
document_count
integer
Example:

20