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POST
/
ai
/
prediction
/
rag
/
{MODEL_ID}
RAG use case
import requests

url = "https://application_id.applications.lucidworks.com/ai/prediction/rag/{MODEL_ID}"

payload = { "batch": [
        {
            "text": "Why did I go to Germany?",
            "documents": [
                {
                    "body": "I'm off to Germany to go to the Oktoberfest!",
                    "source": "http://example.com/112",
                    "title": "Off to Germany!",
                    "date": "2022-01-31T19:31:34Z"
                }
            ]
        }
    ] }
headers = {
    "Authorization": "<authorization>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
{
  "predictions": [
    {
      "tokensUsed": {
        "promptTokens": 606,
        "completionTokens": 23,
        "totalTokens": 629
      },
      "answer": "The reason for going to Germany was to attend Oktoberfest.",
      "answerFound": true,
      "sources": [
        "http://example.com/112"
      ],
      "memoryUuid": "53417d2f-6b0e-47e4-8610-e6842b84a87b",
      "response": "SOURCES:\n- 0\nANSWER: The reason for going to Germany was to attend Oktoberfest."
    }
  ]
}

Headers

Authorization
string
required

Bearer token used for authentication. Format: Authorization: Bearer ACCESS_TOKEN.

Content-Type
string

application/json

Example:

"application/json"

Path Parameters

MODEL_ID
string
required

Unique identifier for the model.

Body

application/json
batch
BatchRag · object[]
useCaseConfig
UseCaseConfigRagExtDoc · object
modelConfig
ModelConfig · object

Provides fields and values that specify ranges for tokens. Fields used for specific use cases and models are specified. The default values are used if other values are not specified.

Response

200 - application/json

OK

predictions
object[]