Amazon Kendra

name: Amazon Kendra
segments:
- Search
- Machine Learning
description: Amazon Kendra is an intelligent enterprise search service powered by machine learning that enables organizations
  to index and search across multiple data sources, delivering highly accurate and relevant answers to natural language queries.
url: https://aws.amazon.com/kendra/
type: Index
image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
tags:
- AI
- AWS
- Enterprise Search
- Knowledge Management
- Machine Learning
- Natural Language
created: '2024-01-15'
modified: '2026-05-19'
apis:
- name: Amazon Kendra API
  description: The Amazon Kendra API provides programmatic access to create and manage intelligent search indexes, configure
    data source connectors, submit queries, and manage relevance tuning for ML-powered enterprise search.
  image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Enterprise Search
  - ML Search
  - Natural Language Processing
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - type: OpenAPI
    url: https://api.apis.guru/v2/specs/amazonaws.com/kendra/2019-02-03/openapi.yaml
  - type: Pricing
    url: https://aws.amazon.com/kendra/pricing/
  - type: GettingStarted
    url: https://aws.amazon.com/kendra/getting-started/
  - type: FAQ
    url: https://aws.amazon.com/kendra/faqs/
  - type: Features
    url: https://aws.amazon.com/kendra/features/
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - type: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - type: OpenAPI
    url: openapi/amazon-kendra-openapi.yml
  - type: JSONLD
    url: json-ld/amazon-kendra-context.jsonld
  - type: JSONSchema
    url: json-schema/amazon-kendra-index-schema.json
  - type: JSONSchema
    url: json-schema/amazon-kendra-data-source-schema.json
  - type: JSONSchema
    url: json-schema/amazon-kendra-query-result-schema.json
  - type: JSONSchema
    url: json-schema/amazon-kendra-faq-schema.json
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-data-sources.yaml
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-documents.yaml
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-experience.yaml
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-faqs.yaml
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-indexes.yaml
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-queries.yaml
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-query-suggestions.yaml
  - type: NaftikoCapability
    url: capabilities/amazon-kendra-thesaurus.yaml
common:
- type: Blog
  url: https://aws.amazon.com/blogs/machine-learning/category/artificial-intelligence/amazon-kendra/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: Console
  url: https://console.aws.amazon.com/kendra/home
- type: CLI
  url: https://docs.aws.amazon.com/cli/latest/reference/kendra/
- type: SDK
  url: https://aws.amazon.com/tools/
- type: StatusPage
  url: https://status.aws.amazon.com/
- type: Compliance
  url: https://aws.amazon.com/compliance/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: Portal
  url: https://aws.amazon.com/kendra/
- type: Documentation
  url: https://docs.aws.amazon.com/kendra/
- type: Pricing
  url: https://aws.amazon.com/kendra/pricing/
- type: GettingStarted
  url: https://aws.amazon.com/kendra/getting-started/
- type: FAQ
  url: https://aws.amazon.com/kendra/faqs/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: SignUp
  url: https://portal.aws.amazon.com/billing/signup
- type: GitHubOrganization
  url: https://github.com/aws
- type: Features
  data:
  - name: Intelligent Search
    description: ML-powered semantic search that understands natural language queries and context to return highly accurate
      answers from enterprise content.
  - name: GenAI RAG Support
    description: Kendra Retriever API enables retrieval-augmented generation workflows with optimized passage chunking and
      ACL-based filtering for LLM integration.
  - name: Data Source Connectors
    description: Native connectors for Amazon S3, SharePoint, Salesforce, ServiceNow, Google Drive, Confluence, and many more
      data repositories.
  - name: Relevance Tuning
    description: Fine-tune search results based on document freshness, authoritative sources, and custom synonyms without
      ML expertise.
  - name: Experience Builder
    description: No-code visual interface to build, customize, and launch search applications with drag-and-drop components.
  - name: Search Analytics Dashboard
    description: Visibility into quality and usability metrics and user interaction patterns to identify content gaps.
  - name: Custom Document Enrichment
    description: Preprocessing capabilities for metadata enrichment, document classification, entity extraction, and AWS AI
      service integration.
  - name: Incremental Learning
    description: Learns from user interactions and feedback to promote preferred documents to the top of search results over
      time.
- type: UseCases
  data:
  - name: Employee Productivity
    description: Help employees find accurate answers and data-driven insights across internal knowledge bases and document
      repositories.
  - name: Customer Service
    description: Power self-service chatbots and agent-assist solutions for contact centers with intelligent search.
  - name: SaaS Application Integration
    description: Integrate intelligent search and conversational AI into customer-facing applications via the Kendra API.
  - name: Generative AI Applications
    description: Use Kendra GenAI indices in Amazon Q Business and Amazon Bedrock knowledge bases to build RAG applications.
  - name: Enterprise Knowledge Management
    description: Index and search across multiple heterogeneous data sources to create a unified knowledge search experience.
- type: Integrations
  data:
  - name: Amazon Bedrock
    description: Use Kendra GenAI indices as knowledge bases in Amazon Bedrock for building generative AI applications.
  - name: Amazon Q Business
    description: Integrate Kendra indices with Amazon Q Business for AI-powered enterprise assistant experiences.
  - name: Amazon Lex
    description: Power Lex chatbots with Kendra search for FAQ-based conversational experiences.
  - name: Amazon S3
    description: Native data source connector for indexing documents stored in Amazon S3 buckets.
  - name: Microsoft SharePoint
    description: Native connector to index and search SharePoint Online and SharePoint Server content.
  - name: Salesforce
    description: Index Salesforce objects and knowledge articles for enterprise search.
  - name: ServiceNow
    description: Connect to ServiceNow to index knowledge base articles and service catalog items.
  - name: Amazon Comprehend
    description: Use Comprehend for entity extraction and metadata enrichment during custom document enrichment.
- type: SpectralRules
  url: rules/amazon-kendra-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-kendra-vocabulary.yaml
- type: Integrations
  url: https://aws.amazon.com/marketplace
integrations:
- name: Sign in
- name: Agent Mode
- name: Why AWS Marketplace?
- name: Get started in AWS Marketplace
- name: Industry
- name: Resources
- name: Become a Channel Partner
- name: Sell in AWS Marketplace
- name: Manage Your Account
maintainers:
- FN: Kin Lane
  email: [email protected]
  url: https://apievangelist.com
include: []