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Amazon Kendra

What is it​

An intelligent and highly accurate enterprise search service based on machine learning (ML).

What is it for​

Enables users to quickly find relevant information in large volumes of unstructured data (documents, manuals, FAQs, etc.) using natural language.

Use cases​

  • Internal search for employees (intranet, knowledge bases)
  • Customer service (chatbots, self-service)
  • Legal and compliance document search
  • Research data analysis for business insights
  • Accelerate search in research and development repositories

Key points​

  • Intelligent search: Understands natural language and question context to provide more relevant answers
  • Data connectors: Connects to various data sources (S3, SharePoint, Salesforce, Confluence, etc.)
  • Built-in ML: Uses ML to improve search accuracy and extract direct answers
  • Relevance: Allows adjustment of search result relevance
  • Fully managed: AWS handles the underlying infrastructure

Comparison​

  • Amazon Kendra: Goes beyond traditional keyword-based search by understanding the meaning and context of questions, providing direct and relevant answers. Reduces time spent searching for information.
  • Traditional search: Relies on exact keywords and may not return the most relevant results for complex questions or natural language queries.