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Secure your Amazon Kendra indexes with the ACL using a JWT shared secret key

AWS Machine Learning

Creating a unified and secure search experience is a significant challenge for organizations because each repository contains a wide range of document formats and access control mechanisms. Amazon Kendra is an intelligent enterprise search service that allows users to search across different content repositories.

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New expanded data format support in Amazon Kendra

AWS Machine Learning

Enterprises across the globe are looking to utilize multiple data sources to implement a unified search experience for their employees and end customers. This allows you to easily integrate your existing data sources as is and perform intelligent search across multiple content repositories.

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Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning

Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries.

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5 Technologies that help your Customer Service Team drive more Sales

TechSee

Whether it’s virtual assistants for self-service, auto-prompted next-best-actions, or AI-assisted product recommendations, today’s digital-first approach is setting the scene for customer service organizations to shift from being such a cost center. And like most things today, the best way to achieve this is through technology.

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Improve your Stable Diffusion prompts with Retrieval Augmented Generation

AWS Machine Learning

Users can share their fine-tuned models, successful prompts, tips, and best practices with the community, helping others learn and refine their prompt-writing skills. By embedding prompts from the prompt library using text embedding models, companies can build a semantic search engine.

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Search for answers accurately using Amazon Kendra S3 Connector with VPC support

AWS Machine Learning

This post provides the steps to help you create an enterprise search engine on AWS using Amazon Kendra by connecting documents stored in a S3 bucket only accessible from within a VPC. For more information, see enhancing enterprise search with Amazon Kendra. On the Amazon Kendra console, choose Search indexed content.

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How Synamedia uses Amazon Rekognition Video to build advanced video search capabilities for long-form video

AWS Machine Learning

Synamedia partnered with AWS to use artificial intelligence (AI) to develop enhanced video search capabilities for long-form video. This is to assist their customers in searching for videos based on a description of scenes that aren’t described in the metadata of the assets. Using AI to index visual content.

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