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Amazon Kendra

Machine learning-powered enterprise search service that indexes and retrieves information from multiple data sources.

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Amazon Kendra provides a managed enterprise search service that indexes content from many structured and unstructured data sources and returns answers to natural‑language queries. It applies machine‑learning models to understand the intent of a query and rank documents, delivering concise answers, FAQs, and ranked results without requiring users to build or train their own models.

The service is aimed at developers and IT teams that need to embed search or conversational interfaces into internal tools, SaaS applications, or chatbots. It offers connectors for common repositories, the ability to fine‑tune result ranking based on attributes such as freshness or user behavior, and integration with large language models for generative‑AI‑enhanced experiences.

Key differentiators include a fully managed architecture that handles indexing, scaling, and updates automatically, and a focus on high accuracy through natural‑language processing. Customers can achieve unified search across disparate data stores while reducing development effort and total cost of ownership compared with traditional on‑premise search solutions.

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