Scale and enhance search accuracy with Intelligent Document Search

Perform conversational question-based searches, enhancing contextual information retrieval and user engagement, and facilitate Data Insights with Intelligent Document Processing Solutions powered by a serverless architecture.  

About Intelligent Document search and retrieval

The Intelligent Document Processing and Advanced Search Solutions, powered by Amazon Kendra, equip businesses with powerful tools for efficient, context-aware searches across multiple data sources, including Amazon S3, WebCrawler, and ServiceNow. This streamlined system identifies and delivers precise document pages, leveraging Large Language Models (LLMs) for optimal results. Our flexible serverless architecture with pay-as-you-go pricing also uses Amazon Bedrock and enterprise data fine-tuning capabilities using dedicated servers. It empowers businesses to boost productivity and make faster data-driven decisionmaking based on valuable insights from document interactions. 

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Our cost-effective solutions can streamline operations and boost business productivity. Leverage our cloud solutions and get an edge in the market.

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Industries Utilizing Intelligent Document Processing and Advanced Search Solutions

Various industries have benefited from intelligent document processing and advanced search solutions. Few listed as below:

Transforming Business with Large Language Model and GenAI

Generative AI is an interesting branch of Artificial Intelligence backed by a Large Language model trained on a large corpus of data that can generate content or data. These large language models are built on top of a Deep Neural Network, specifically the variant of Transformers.

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Empowering Efficient Document Processing and Advanced Search Solutions Powered by GenAI

Enable users to retrieve contextual document search, thus elevating organizational efficiency by seamlessly automating document handling and retrieval, enhancing accuracy and data-driven insights.

Enhanced Document Search

Pose precise questions about raw documents to receive relevant documents. 

Precise Contextual Retrieval

Pinpoint the exact location within the document containing the answer, ensuring context-aware responses for users 

Efficient Processing

The LLM model backed by Amazon Bedrock optimizes resource usage and faster responses. 

Engaging Interaction

The conversational approach improves user engagement, making information retrieval more intuitive and enjoyable.

Higher Relevance

Users receive answers directly related to their queries, enhancing their searches’ relevance and effectiveness, ultimately...

Ensures Compliance

Maintain regulatory Compliance by enabling accurate document classification, extraction, and retrieval for audit purposes.

Why Choose CloudThat as a Partner

CloudThat provides a broad range of data analytics and machine learning services with exceptional expertise and automation, empowering businesses to bring out the true potential of their data. Our team of AWS experts and budget-friendly services are streamlined for optimal performance, featuring top-of-the-line security, reliability, and rapid operations.  We are:

  • AWS Advanced Tier Consulting Partner
  • AWS Migration Competency Partner
  • AWS Data Analytics Competency Partner
  • AWS DevOps Competency Partner
  • AWS Lambda Service Delivery Partner
  • Amazon QuickSight Service Delivery Partner
  • AWS Public Sector Partner
  • Amazon EKS Service Delivery Partner
  • Amazon DynamoDB Service Delivery Partner
  • Amazon API Gateway Service Delivery Partner
  • Amazon ECS Service Delivery Partner
  • Amazon Public Sector Solution Provider
  • Amazon EC2 Service Delivery Partner

Generative AI can benefit your business by automating content creation, personalizing user experiences, and enhancing decision-making processes.

Selecting the right model depends on your project’s requirements, data, and objectives. CloudThat will assess these factors and recommend the most suitable model architecture.

ROI significantly depends on customer’s use case and business objective. Generative AI can lead to cost savings, revenue generation, and enhanced user experiences. CloudThat can help you measure and optimize ROI based on your objectives.

CloudThat provides ongoing support, including model maintenance, updates, and performance monitoring to ensure your Generative AI solution remains effective and up to date.

Choosing between a serverless or dedicated server architecture relies on your project’s specific requirements, data considerations, and overarching objectives. CloudThat’s data experts will assess these factors and recommend the most suitable model architecture.

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