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.
APIs
Amazon Kendra API
The Amazon Kendra API provides programmatic access to create and manage intelligent search indexes, configure data source connectors, submit queries, and manage relevance tuning...
Capabilities
Amazon Kendra Enterprise Search
Unified workflow capability for Amazon Kendra enterprise search, combining index management, data source connectivity, document indexing, and intelligent query operations for kn...
Run with NaftikoFeatures
ML-powered semantic search that understands natural language queries and context to return highly accurate answers from enterprise content.
Kendra Retriever API enables retrieval-augmented generation workflows with optimized passage chunking and ACL-based filtering for LLM integration.
Native connectors for Amazon S3, SharePoint, Salesforce, ServiceNow, Google Drive, Confluence, and many more data repositories.
Fine-tune search results based on document freshness, authoritative sources, and custom synonyms without ML expertise.
No-code visual interface to build, customize, and launch search applications with drag-and-drop components.
Visibility into quality and usability metrics and user interaction patterns to identify content gaps.
Preprocessing capabilities for metadata enrichment, document classification, entity extraction, and AWS AI service integration.
Learns from user interactions and feedback to promote preferred documents to the top of search results over time.
Use Cases
Help employees find accurate answers and data-driven insights across internal knowledge bases and document repositories.
Power self-service chatbots and agent-assist solutions for contact centers with intelligent search.
Integrate intelligent search and conversational AI into customer-facing applications via the Kendra API.
Use Kendra GenAI indices in Amazon Q Business and Amazon Bedrock knowledge bases to build RAG applications.
Index and search across multiple heterogeneous data sources to create a unified knowledge search experience.
Integrations
Use Kendra GenAI indices as knowledge bases in Amazon Bedrock for building generative AI applications.
Integrate Kendra indices with Amazon Q Business for AI-powered enterprise assistant experiences.
Power Lex chatbots with Kendra search for FAQ-based conversational experiences.
Native data source connector for indexing documents stored in Amazon S3 buckets.
Native connector to index and search SharePoint Online and SharePoint Server content.
Index Salesforce objects and knowledge articles for enterprise search.
Connect to ServiceNow to index knowledge base articles and service catalog items.
Use Comprehend for entity extraction and metadata enrichment during custom document enrichment.