AWS Reference Notes

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- Amazon S3
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- Amazon Aurora
  - Common
    What is Aurora?
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- Amazon RDS
  - Common
    What is Amazon RDS?
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    Managing a DB instance
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- AWS Step Functions
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Media Services
- Amazon Elastic Transcoder
  - Common
  - Topics
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Internet of Things (IoT)
Business Applications
- Amazon Chime SDK
  - Common
  - Topics
    Using the Amazon Chime SDK
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    Using Amazon Chime SDK messaging
Analytics
Robotics
- AWS RoboMaker
  - Common
    Security
  - Topics
Blockchain
- Amazon Managed Blockchain
  - Common
    Getting Started
  - Topics
    Work with Hyperledger Fabric
Game Development
- Amazon GameLift
  - Common
  - Topics
    Setting up
    Preparing games for Amazon GameLift
    Managing hosting resources
    Viewing game data

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Step 1: Adding documents
Step 3: Formatting the metadata
Step 4: Creating an index and ingesting the metadata

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Machine Learning

Amazon Kendra

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Tutorial: Building an intelligent search solution

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Last updated 1 year ago

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This page was generated from content adapted from the

Step 1: Adding documents

Important The name of an Amazon S3 bucket must be unique across all of AWS.
Note You must choose a region that supports both Amazon Comprehend and Amazon Kendra. You cannot change the region of a bucket after you have created it.

Step 3: Formatting the metadata

Important For the metadata to be formatted correctly, the input values in steps 8-10 must be exact.
Note If you do not have Boto3 installed, run pip3 install boto3 to install it.
Important For the metadata to be formatted correctly, the input values in steps 5-7 must be exact.

Step 4: Creating an index and ingesting the metadata

Important Misspelled entity types will not be recognized by the index.

AWS Developer Guide