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- GitHub - Avarios Textract_Example: This PoC contains code intended to . . .
This PoC contains code intended to show how to extract text patterns from documents using Amazon Textract and store the results into DynamoDB - Avarios Textract_Example
- Best practices for working with DynamoDB zero-ETL integration and . . .
DynamoDB has a DynamoDB zero-ETL integration with Amazon OpenSearch Service For more information, see the DynamoDB plugin for OpenSearch Ingestion and specific best practices for Amazon OpenSearch Service Configuration Only index data that you need to perform searches on
- DynamoDB zero-ETL integration with Amazon OpenSearch Service
Learn how DynamoDB integrates with Amazon OpenSearch Service with the DynamoDB plugin for OpenSearch Ingestion OpenSearch Ingestion offers a fully managed, no-code experience for ingesting data into OpenSearch Service
- Store and perform search on large size of text in AWS
I am using AWS Textract for text extraction to get OCR data I was planning to store the OCR data in Dynamo DB and perform search query in that Issue that I am facing is because of the size limit of dynamo db items which is limited to 400KB
- Using an OpenSearch Ingestion pipeline with Amazon DynamoDB
Stream table events from Amazon Amazon DynamoDB to OpenSearch Service using ingestion pipelines to enable real-time search and analytics on your NoSQL data
- Vector database options - AWS Prescriptive Guidance
The individual vector database options on AWS include Amazon Kendra, Amazon OpenSearch Service, and Amazon RDS for PostgreSQL with pgvector (An open-source extension, pgvector adds the ability to store and search machine learning (ML)-generated vector embeddings ) These solutions offer different approaches to vector search, allowing organizations to choose based on their existing
- aws-samples amazon-textract-a2i-dynamodb-handwritten-tabular
It shows how you can use Amazon Textract Handwritten feature to extract tabular data from documents and then have a human review loop using Amazon Augmented AI to make sure the predictions are highly accurate Also it shows how to store the results into Amazon Dynamodb for making it available for downstream processing
- Amazon Textract - Developer Guide
All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon Amazon Textract Developer Guide Table of Contents
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