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I'm using Amazon Kendra to build a semantic search engine. Following is a piece of my Python code written in Sagemaker notebook:
Python
kendra = boto3.client("kendra",region_name='us-east-1')    
index_id = "05d8defe-e2-a9e3-3534de"
query = "boots please"

response = kendra.query(
    QueryText = query1,
    IndexId = index_id
)


'response' is giving me the error:

AccessDeniedException: An error occurred (AccessDeniedException) when calling the Query operation: User: arn:aws:sts::9174853:assumed-role/AmazonSageMaker-ExecutionRole-2023083103184/SageMaker is not authorized to perform: kendra:Query on resource: arn:aws:kendra:us-east-1:9174853:index/5ba72cde-24e-8736-020a21bce


What I have tried:

Here are the basic steps I've followed: Create a bucket in S3, load the dataset, create an index in Kendra & assign it a role, connect the index with the data source (S3) & assign it a new role (different from the index role), sync the data & execute the above-mentioned code.

Some clarifications:

  • I haven't assigned permissions anywhere & I'm the only user here.
  • I have created different IAM roles for the index & data source.


Update: I assigned the Kendra role under IAM --> Roles all the necessary permissions - S3FullAccess, AdministratorAccess, Sgemaker access, & access to other roles. The error persists.

Why am I getting this error & how do I fix it?
Posted
Updated 20-Sep-23 2:17am
v3
Comments
Richard MacCutchan 20-Sep-23 7:51am    
You need to contact Amazon, it is their system.
Apoorva 2022 20-Sep-23 10:54am    
Thank You. I contacted their support team & my issue has been resolved. Will post the solution.

1 solution

I fixed the issue. Here's how I did it:

I attached "AmazonKendraFullAccess" policy to the SageMaker role (AmazonSageMaker-ExecutionRole-xxxxxxxx) in the AWS Identity and Access Management (IAM) console.
 
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