Synonym and language-specific text processing for search queries

Question

Pulumi · Accepted Answer

To enhance search functionality with synonym and language-specific text processing, you would typically use a combination of search services and natural language processing (NLP) capabilities. In the context of cloud services, there are options like AWS Kendra or Google Cloud's Content Warehouse API, which allow you to include synonyms in search queries and perform more advanced text processing.

Here's a simple Pulumi program in TypeScript that sets up an AWS Kendra Thesaurus, which allows you to improve search results by adding synonyms to the search query. This example assumes that you already have an index created in Kendra, as the Thesaurus needs to be associated with a specific index.

Before diving into the code, make sure you have Pulumi installed and AWS configured. The following program will create a thesaurus resource within AWS Kendra service. The program leverages the `aws.kendra.Thesaurus` resource, which you can find documentation for [here](https://www.pulumi.com/registry/packages/aws/api-docs/kendra/thesaurus/).

```typescript
import * as aws from "@pulumi/aws";

// Create an AWS Kendra Thesaurus Resource
const kendraThesaurus = new aws.kendra.Thesaurus("myThesaurus", {
    indexId: "YOUR_INDEX_ID",  // Replace with your Kendra Index ID
    roleArn: "YOUR_ROLE_ARN",  // Replace with an IAM role ARN with permission for Kendra
    name: "my-thesaurus",
    description: "A thesaurus to improve search queries with synonyms.",
    sourceS3Path: {
        bucket: "YOUR_BUCKET_NAME",  // Replace with your S3 bucket name where the thesaurus is stored
        key: "YOUR_S3_OBJECT_KEY"   // Replace with the S3 key for the thesaurus file
    },
    // Optionally, you can tag your Thesaurus for better resource management
    tags: {
        "CreatedBy": "Pulumi",
    },
});

// Export the Thesaurus ID
export const thesaurusId = kendraThesaurus.id;
```

In this program:
- We import the `aws` SDK provided by Pulumi, which contains helpers for managing AWS resources.
- We create a new `Thesaurus` in AWS Kendra by specifying attributes like `indexId`, `roleArn`, and `sourceS3Path`. The `indexId` is the identifier of the index you want to associate the thesaurus with, and `roleArn` is the Amazon Resource Name (ARN) of an IAM role that gives Kendra permission to access your specified resources. The `sourceS3Path` is an object containing details about the S3 bucket and object key that contain your thesaurus data. This file should be formatted according to AWS's specifications, containing a list of synonyms.
- The `tags` property is optional and can be used for resource organization and cost allocation tracking.
- Finally, we export the `thesaurusId`, which could be useful if you wish to reference the thesaurus in other parts of your infrastructure or in other Pulumi programs.

Please adjust `"YOUR_INDEX_ID"`, `"YOUR_ROLE_ARN"`, `"YOUR_BUCKET_NAME"`, and `"YOUR_S3_OBJECT_KEY"` with your actual AWS Kendra Index ID, IAM role ARN, S3 bucket name, and the S3 key of your thesaurus file. These will be specific to your AWS environment and requirements.

This simple Pulumi program demonstrates how to set up a thesaurus in AWS Kendra to add synonym support to your search queries, which enhances the user search experience by allowing different terms that mean the same thing to return similar results.