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
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/amazon-kendra/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/amazon-kendra-create-faq-and-query-workflow.yml
        name: Amazon Kendra Create FAQ and Query
        summary: Load an FAQ file from S3 into an index, wait until it is active, then query for FAQ-backed answers.
      - url: arazzo/amazon-kendra-create-search-experience-workflow.yml
        name: Amazon Kendra Create Search Experience
        summary: >-
          Wait for an index to be active, create a hosted search experience on it, and confirm it via the experiences
          list.
      - url: arazzo/amazon-kendra-create-thesaurus-and-query-workflow.yml
        name: Amazon Kendra Create Thesaurus and Query
        summary: >-
          Load a custom synonym thesaurus from S3 into an index, wait until it is active, then run a synonym-aware
          query.
      - url: arazzo/amazon-kendra-ingest-documents-and-query-workflow.yml
        name: Amazon Kendra Ingest Documents and Query
        summary: Directly upload documents into an index, wait until they finish indexing, then run a search query.
      - url: arazzo/amazon-kendra-provision-index-and-sync-workflow.yml
        name: Amazon Kendra Provision Index and Start First Sync
        summary: Create an index, wait until it is active, attach a data source, and kick off the first sync job.
      - url: arazzo/amazon-kendra-query-suggestions-then-search-workflow.yml
        name: Amazon Kendra Query Suggestions then Search
        summary: Generate type-ahead query suggestions for a partial query, then run a full search using the top suggestion.
      - url: arazzo/amazon-kendra-refresh-documents-workflow.yml
        name: Amazon Kendra Refresh Documents
        summary: >-
          Remove stale documents from an index, upload their refreshed versions, and wait until the new versions are
          indexed.
      - url: arazzo/amazon-kendra-reschedule-and-resync-data-source-workflow.yml
        name: Amazon Kendra Reschedule and Resync Data Source
        summary: Update a data source's sync schedule, trigger an immediate sync, and wait for that sync to succeed.
      - url: arazzo/amazon-kendra-resolve-index-and-query-workflow.yml
        name: Amazon Kendra Resolve Index by Name and Query
        summary: Look up an index by name, confirm it is active, and run a search query against it.
      - url: arazzo/amazon-kendra-retrieve-passages-for-rag-workflow.yml
        name: Amazon Kendra Retrieve Passages for RAG
        summary: >-
          Retrieve semantically relevant passages for a question and run a parallel ranked query to enrich a RAG
          context.
      - url: arazzo/amazon-kendra-sync-data-source-and-query-workflow.yml
        name: Amazon Kendra Sync Data Source and Query
        summary: Start a data source sync job on an existing connector, wait for it to succeed, then query the refreshed index.
      - url: arazzo/amazon-kendra-teardown-data-source-and-index-workflow.yml
        name: Amazon Kendra Teardown Data Source and Index
        summary: Delete a data source connector, confirm it is gone, then delete the index that owned it.
  - 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: []