I am trying to test FAISS index. I upload a txt file and run it. This is the result. As you see the pictures above, the first task(chunking) has been successful. I got the 37 chunked docs. The error is occurred in the second task. I looked the log. There are two things that I do not understand. why they raise this error? Error embedding: Unsupported data type The model_name is not correct. I deployed gpt-4o-mini not gpt-35-turbo. How come does it get the wrong model?

Vector index unsupport txt file

Hyunduck Hwang 0

I am trying to test FAISS index. I upload a txt file and run it.

This is the result.
User's image

User's image

As you see the pictures above, the first task(chunking) has been successful. I got the 37 chunked docs.
The error is occurred in the second task. I looked the log.
User's image

There are two things that I do not understand.

why they raise this error?
```
   Error embedding: Unsupported data type
   
```
1. The model_name is not correct. I deployed gpt-4o-mini not gpt-35-turbo. How come does it get the wrong model?

JAYA SHANKAR G S 80 Reputation points Microsoft Vendor

2025-01-29T04:09:44.3266667+00:00

@Hyunduck Hwang Hi, please check the deployment name. Make sure you give deployment name correctly. Also give details of your input data.
JAYA SHANKAR G S 80 Reputation points Microsoft Vendor

2025-01-31T07:06:21.9033333+00:00

Hi @Hyunduck Hwang ,

Did you get the chance to check the details i have asked.
Manas Mohanty (Quadrant Resource LLC) 100 Reputation points Microsoft Vendor

2025-01-31T07:17:05.6066667+00:00

Hi Hyunduck Hwang!

Could you change model deployment manually in the concerned node manually and check whether provided data is in supported format (TSV, CSV and JSONL) as mentioned by JAYA SHANKAR G S

Kindly refer below document.

Promptflow supported data types.

Thank you.

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Vector index unsupport txt file

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