Amazon Kendra

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.

Amazon Kendra publishes 8 APIs on the APIs.io network, including Data Sources API, Documents API, Experience API, and 5 more. Tagged areas include AI, Enterprise Search, Knowledge Management, Machine Learning, and Natural Language.

The Amazon Kendra catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Amazon Kendra’s developer surface includes authentication, engineering blog, support, developer console, CLI, developer portal, documentation, and 29 more developer resources.

🌐 Visit website 📡 Source on GitHub

74.2/100 exemplar ▬ flat Agent 34/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6

AccessFreemiumSelf serve⚡ Free to try

8 APIs 8 Features 5 Use Cases

AIEnterprise SearchKnowledge ManagementMachine LearningNatural Language

Kin Score

Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6

Composite quality — 74.2/100 · exemplar

Contract Quality 19.7 / 25

Developer Ergonomics 13.9 / 20

Commercial Clarity 17.4 / 20

Operational Transparency 6.8 / 13

Governance 8.3 / 12

Discoverability 8.2 / 10

Agent readiness — 34/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/amazon-kendra: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 8

Individual APIs this provider publishes, each with its own machine-readable definition.

Amazon Kendra Data Sources API

Operations for managing data source connectors

Amazon Kendra Documents API

Operations for managing documents in the index

Amazon Kendra Experience API

Operations for managing search experiences

Amazon Kendra FAQs API

Operations for managing FAQ entries

Amazon Kendra Indexes API

Operations for creating and managing search indexes

Amazon Kendra Queries API

Operations for querying the search index

Amazon Kendra Query Suggestions API

Operations for query autocompletion

Amazon Kendra Thesaurus API

Operations for managing custom synonyms

Scroll for all 8

Postman Collections 1

Ready-to-run Postman collections for exercising this provider's APIs.

Amazon Kendra API

POSTMAN

Open Collections 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Amazon Kendra API

OPEN COLLECTION

Arazzo Workflows 12

Multi-step API workflows described with the Arazzo specification.

Amazon Kendra Create FAQ and Query

Load an FAQ file from S3 into an index, wait until it is active, then query for FAQ-backed answers.

ARAZZO

Amazon Kendra Create Search Experience

Wait for an index to be active, create a hosted search experience on it, and confirm it via the experiences list.

ARAZZO

Amazon Kendra Create Thesaurus and Query

Load a custom synonym thesaurus from S3 into an index, wait until it is active, then run a synonym-aware query.

ARAZZO

Amazon Kendra Ingest Documents and Query

Directly upload documents into an index, wait until they finish indexing, then run a search query.

ARAZZO

Amazon Kendra Provision Index and Start First Sync

Create an index, wait until it is active, attach a data source, and kick off the first sync job.

ARAZZO

Amazon Kendra Query Suggestions then Search

Generate type-ahead query suggestions for a partial query, then run a full search using the top suggestion.

ARAZZO

Amazon Kendra Refresh Documents

Remove stale documents from an index, upload their refreshed versions, and wait until the new versions are indexed.

ARAZZO

Amazon Kendra Reschedule and Resync Data Source

Update a data source's sync schedule, trigger an immediate sync, and wait for that sync to succeed.

ARAZZO

Amazon Kendra Resolve Index by Name and Query

Look up an index by name, confirm it is active, and run a search query against it.

ARAZZO

Amazon Kendra Retrieve Passages for RAG

Retrieve semantically relevant passages for a question and run a parallel ranked query to enrich a RAG context.

ARAZZO

Amazon Kendra Sync Data Source and Query

Start a data source sync job on an existing connector, wait for it to succeed, then query the refreshed index.

ARAZZO

Amazon Kendra Teardown Data Source and Index

Delete a data source connector, confirm it is gone, then delete the index that owned it.

ARAZZO

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Pricing Plans 1

Published pricing tiers and plan structures.

Amazon Kendra Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Kendra Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Amazon Kendra Finops

FINOPS

Features 8

Notable capabilities this provider offers.

Intelligent Search

ML-powered semantic search that understands natural language queries and context to return highly accurate answers from enterprise content.

GenAI RAG Support

Kendra Retriever API enables retrieval-augmented generation workflows with optimized passage chunking and ACL-based filtering for LLM integration.

Data Source Connectors

Native connectors for Amazon S3, SharePoint, Salesforce, ServiceNow, Google Drive, Confluence, and many more data repositories.

Relevance Tuning

Fine-tune search results based on document freshness, authoritative sources, and custom synonyms without ML expertise.

Experience Builder

No-code visual interface to build, customize, and launch search applications with drag-and-drop components.

Search Analytics Dashboard

Visibility into quality and usability metrics and user interaction patterns to identify content gaps.

Custom Document Enrichment

Preprocessing capabilities for metadata enrichment, document classification, entity extraction, and AWS AI service integration.

Incremental Learning

Learns from user interactions and feedback to promote preferred documents to the top of search results over time.

Scroll for all 8

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Amazon Kendra Context

4 classes · 16 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon Kendra API Rules

5 rules · 4 warnings 1 info

SPECTRAL

Amazon Kendra API Rules

26 rules · 10 errors 16 warnings

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions for this provider's data models.

DataSource

6 properties

JSON SCHEMA

Faq

6 properties

JSON SCHEMA

Index

7 properties

JSON SCHEMA

QueryResult

4 properties

JSON SCHEMA

JSON Structure 4

JSON Structure definitions describing this provider's data shapes.

Amazon Kendra Data Source Structure

6 properties

JSON STRUCTURE

Amazon Kendra Faq Structure

6 properties

JSON STRUCTURE

Amazon Kendra Index Structure

7 properties

JSON STRUCTURE

Amazon Kendra Query Result Structure

4 properties

JSON STRUCTURE

Examples 4

Example request and response payloads for these APIs.

Amazon Kendra Data Source Example

6 fields

EXAMPLE

Amazon Kendra Faq Example

6 fields

EXAMPLE

Amazon Kendra Index Example

7 fields

EXAMPLE

Amazon Kendra Query Result Example

4 fields

EXAMPLE

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Amazon Kendra Authentication

apiKey · 1 scheme

SECURITY

Amazon Kendra Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Kendra Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Kendra Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Amazon Kendra Agentic Access

26 operations · 17 acting

AGENTIC

Use Cases 5

What developers build with this provider.

Employee Productivity

Help employees find accurate answers and data-driven insights across internal knowledge bases and document repositories.

Customer Service

Power self-service chatbots and agent-assist solutions for contact centers with intelligent search.

SaaS Application Integration

Integrate intelligent search and conversational AI into customer-facing applications via the Kendra API.

Generative AI Applications

Use Kendra GenAI indices in Amazon Q Business and Amazon Bedrock knowledge bases to build RAG applications.

Enterprise Knowledge Management

Index and search across multiple heterogeneous data sources to create a unified knowledge search experience.

Resources

Get Started 4

Portal, sign-up, and the first successful call

Console

Portal

GettingStarted

Signup

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 14

Pagination, idempotency, versioning, errors, and events

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

SpectralRules

Vocabulary

Scroll for all 14

Build 4

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

CLI

CLI

SDKs

SDKs

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Compliance

Compliance

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

FAQ

FAQ

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Blog

Blog

Source (apis.yml)

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
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
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:
- aid: amazon-kendra:amazon-kendra-data-sources-api
  name: Amazon Kendra Data Sources API
  description: Operations for managing data source connectors
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Data Sources
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-data-sources-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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
- aid: amazon-kendra:amazon-kendra-documents-api
  name: Amazon Kendra Documents API
  description: Operations for managing documents in the index
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Documents
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-documents-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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
- aid: amazon-kendra:amazon-kendra-experience-api
  name: Amazon Kendra Experience API
  description: Operations for managing search experiences
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Experience
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-experience-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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
- aid: amazon-kendra:amazon-kendra-faqs-api
  name: Amazon Kendra FAQs API
  description: Operations for managing FAQ entries
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - FAQs
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-faqs-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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
- aid: amazon-kendra:amazon-kendra-indexes-api
  name: Amazon Kendra Indexes API
  description: Operations for creating and managing search indexes
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Indexes
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-indexes-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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
- aid: amazon-kendra:amazon-kendra-queries-api
  name: Amazon Kendra Queries API
  description: Operations for querying the search index
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Queries
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-queries-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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
- aid: amazon-kendra:amazon-kendra-query-suggestions-api
  name: Amazon Kendra Query Suggestions API
  description: Operations for query autocompletion
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Query Suggestions
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-query-suggestions-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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
- aid: amazon-kendra:amazon-kendra-thesaurus-api
  name: Amazon Kendra Thesaurus API
  description: Operations for managing custom synonyms
  humanURL: https://aws.amazon.com/kendra/
  baseURL: https://kendra.amazonaws.com
  tags:
  - Thesaurus
  properties:
  - type: OpenAPI
    url: openapi/amazon-kendra-thesaurus-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/kendra/latest/dg/what-is-kendra.html
  - 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: APIReference
    url: https://docs.aws.amazon.com/kendra/latest/APIReference/Welcome.html
  - 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: AgenticAccess
  url: agentic-access/amazon-kendra-agentic-access.yml
- type: TrustCenter
  url: security/amazon-kendra-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-kendra-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-kendra-domain-security.yml
- type: Authentication
  url: authentication/amazon-kendra-authentication.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/amazon-kendra/overview
- type: Arazzo
  url: arazzo/amazon-kendra-create-faq-and-query-workflow.yml
  name: Amazon Kendra Create FAQ and Query
- type: Arazzo
  url: arazzo/amazon-kendra-create-search-experience-workflow.yml
  name: Amazon Kendra Create Search Experience
- type: Arazzo
  url: arazzo/amazon-kendra-create-thesaurus-and-query-workflow.yml
  name: Amazon Kendra Create Thesaurus and Query
- type: Arazzo
  url: arazzo/amazon-kendra-ingest-documents-and-query-workflow.yml
  name: Amazon Kendra Ingest Documents and Query
- type: Arazzo
  url: arazzo/amazon-kendra-provision-index-and-sync-workflow.yml
  name: Amazon Kendra Provision Index and Start First Sync
- type: Arazzo
  url: arazzo/amazon-kendra-query-suggestions-then-search-workflow.yml
  name: Amazon Kendra Query Suggestions then Search
- type: Arazzo
  url: arazzo/amazon-kendra-refresh-documents-workflow.yml
  name: Amazon Kendra Refresh Documents
- type: Arazzo
  url: arazzo/amazon-kendra-reschedule-and-resync-data-source-workflow.yml
  name: Amazon Kendra Reschedule and Resync Data Source
- type: Arazzo
  url: arazzo/amazon-kendra-resolve-index-and-query-workflow.yml
  name: Amazon Kendra Resolve Index by Name and Query
- type: Arazzo
  url: arazzo/amazon-kendra-retrieve-passages-for-rag-workflow.yml
  name: Amazon Kendra Retrieve Passages for RAG
- type: Arazzo
  url: arazzo/amazon-kendra-sync-data-source-and-query-workflow.yml
  name: Amazon Kendra Sync Data Source and Query
- type: Arazzo
  url: arazzo/amazon-kendra-teardown-data-source-and-index-workflow.yml
  name: Amazon Kendra Teardown Data Source and Index
- 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: SDKs
  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: kin@apievangelist.com
  url: https://apievangelist.com
include: []