Direktes Hinzufügen von Dokumenten zu einem Index mit Batch-Upload

Verwenden Sie in der AWS Command Line Interface den folgenden Befehl. Der Befehl ist für Linux und macOS formatiert. Wenn Sie Windows verwenden, ersetzen Sie das Unix-Zeilenfortsetzungszeichen (\) durch ein Caret (^).

aws kendra batch-put-document \
   --index-id index-id \
   --documents '{"Id":"doc-id-1", "Blob":"Amazon.com is an online retailer.", "ContentType":"PLAIN_TEXT", "Title":"Information about Amazon.com"}'

import boto3

kendra = boto3.client("kendra")

# Provide the index ID
index_id = "index-id"

# Provide the title and text
title = "Information about Amazon.com"
text = "Amazon.com is an online retailer."

document = {
    "Id": "1",
    "Blob": text,
    "ContentType": "PLAIN_TEXT",
    "Title": title
}

documents = [
    document
]

result = kendra.batch_put_document(
    IndexId = index_id,
    Documents = documents
)

print(result)

package com.amazonaws.kendra;


import software.amazon.awssdk.core.SdkBytes;
import software.amazon.awssdk.services.kendra.KendraClient;
import software.amazon.awssdk.services.kendra.model.BatchPutDocumentRequest;
import software.amazon.awssdk.services.kendra.model.BatchPutDocumentResponse;
import software.amazon.awssdk.services.kendra.model.ContentType;
import software.amazon.awssdk.services.kendra.model.Document;

public class AddDocumentsViaAPIExample {
    public static void main(String[] args) {
        KendraClient kendra = KendraClient.builder().build();

        String indexId = "yourIndexId";

        Document testDoc = Document
            .builder()
            .title("The title of your document")
            .id("a_doc_id")
            .blob(SdkBytes.fromUtf8String("your text content"))
            .contentType(ContentType.PLAIN_TEXT)
            .build();

        BatchPutDocumentRequest batchPutDocumentRequest = BatchPutDocumentRequest
            .builder()
            .indexId(indexId)
            .documents(testDoc)
            .build();

        BatchPutDocumentResponse result = kendra.batchPutDocument(batchPutDocumentRequest);

        System.out.println(String.format("BatchPutDocument Result: %s", result));
    }
}

import boto3

kendra = boto3.client("kendra")

# Provide the index ID
index_id = "index-id"
# Provide the IAM role ARN required to index documents in an S3 bucket
role_arn = "arn:aws:iam::${acccountID}:policy/${roleName}"

doc1_s3_file_data = {
    "Bucket": "bucket-name",
    "Key": "document1.docx"
}

doc1_document = {
    "S3Path": doc1_s3_file_data,
    "Title": "Document 1 title",
    "Id": "doc_1"
}

doc2_s3_file_data = {
    "Bucket": "bucket-name",
    "Key": "document2.docx"
}

doc2_document = {
    "S3Path": doc2_s3_file_data,
    "Title": "Document 2 title",
    "Id": "doc_2"
}

documents = [
    doc1_document,
    doc2_document
]

result = kendra.batch_put_document(
    Documents = documents,
    IndexId = index_id,
    RoleArn = role_arn
)

print(result)

package com.amazonaws.kendra;

import software.amazon.awssdk.services.kendra.KendraClient;
import software.amazon.awssdk.services.kendra.model.BatchPutDocumentRequest;
import software.amazon.awssdk.services.kendra.model.BatchPutDocumentResponse;
import software.amazon.awssdk.services.kendra.model.Document;
import software.amazon.awssdk.services.kendra.model.S3Path;

public class AddFilesFromS3Example {
    public static void main(String[] args) {
        KendraClient kendra = KendraClient.builder().build();

        String indexId = "yourIndexId";
        String roleArn = "yourIndexRoleArn";

        Document pollyDoc = Document
            .builder()
            .s3Path(
                S3Path.builder()
                .bucket("amzn-s3-demo-bucket")
                .key("What is Amazon Polly.docx")
                .build())
            .title("What is Amazon Polly")
            .id("polly_doc_1")
            .build();

        Document rekognitionDoc = Document
            .builder()
            .s3Path(
                S3Path.builder()
                .bucket("amzn-s3-demo-bucket")
                .key("What is Amazon Rekognition.docx")
                .build())
            .title("What is Amazon rekognition")
            .id("rekognition_doc_1")
            .build();

        BatchPutDocumentRequest batchPutDocumentRequest = BatchPutDocumentRequest
            .builder()
            .indexId(indexId)
            .roleArn(roleArn)
            .documents(pollyDoc, rekognitionDoc)
            .build();

        BatchPutDocumentResponse result = kendra.batchPutDocument(batchPutDocumentRequest);

        System.out.println(String.format("BatchPutDocument result: %s", result));
    }
}