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Create a document lake using large-scale text extraction from documents with Amazon Textract

AWS Machine Learning

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). In this post, we focus on processing a large collection of documents into raw text files and storing them in Amazon S3.

Scripts 124
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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Run the script init-script.bash : chmod u+x init-script.bash./init-script.bash

APIs 124
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How to Write an After-Call Survey Script

Fonolo

You might have a carefully crafted questionnaire or script for your after-call survey. It offers your call center a well-documented view of response rates, survey answers, and timing information. Sample After-Call Survey Script. Use this handy sample script as a guide! Introduce surveys by using the customer’s name.

Scripts 138
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How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

AWS Machine Learning

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock empowers teams to generate Terraform and CloudFormation scripts that are custom fitted to organizational needs while seamlessly integrating compliance and security best practices. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 130
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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1

AWS Machine Learning

Broadly speaking, a retriever is a module that takes a query as input and outputs relevant documents from one or more knowledge sources relevant to that query. Document ingestion In a RAG architecture, documents are often stored in a vector store. You must use the same embedding model at ingestion time and at search time.

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How to Reduce Smart Home Returns with Effective WiFi Troubleshooting

TechSee

While on site, they use Connectivity Guru to run site scans, confirm signal coverage, document the setup (“birth certificate”), optimize hardware placement and use visual aids to drive upsales. TechSee empowers you to flip the script—with visual intelligence that makes WiFi problems visible, solvable, and even profitable.

Upselling 109